Product Owner Department: Product Management Sofia Creation dateWe are looking for a proactive and detail-oriented Product Owner who thrives working shoulder-to-shoulder with engineers and turns customer, market and stakeholder signal into clear...

Adverity GmbH

We are looking for a motivated SaaS Account Executive to accelerate our expansion in the EMEA region. You'll be responsible for overseeing the entire sales cycle, with support from a team of Sales Development Representatives and Sales Engineers.

This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

As a strategic commercial partner, the Account Manager is responsible for securing and expanding a high-value portfolio by guiding customers along their data maturity journey and uncovering new revenue opportunities.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

By consistently demonstrating measurable ROI and influencing executive stakeholders, the Account Manager plays a pivotal role in turning customer partnerships into long-term, revenue-generating growth engines.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Base Salary Range: €60,000 – €85,000 gross per annum (The legal minimum according to the applicable CBA is €53,802. Final offer will match your experience, with a willingness to overpay based on qualifications).

Variable Compensation (OTE): Target of €32,000 gross per annum, capped at €25,000 per quarter Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

Role summary

The Director, Content & Communications owns Adverity's content strategy, editorial direction, executive thought leadership, and PR/communications strategy end-to-end. The role leads a focused content team and is a working leader, hands-on with editorial direction, thought leadership programmes, and PR strategy, not just a strategic overseer.

Primary accountability is category creation and market education, shaping how the market defines and talks about the space Adverity competes in, and building the market's understanding of the problem it solves.

This is an agentic-first content leadership role: the Director is responsible for building and shaping the agentic systems and processes that support content, AEO optimisation, scheduling, and distribution.

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

We are proud to be an experienced and diverse team that is breaking new ground for marketing departments around the world. We are headquartered in Vienna, Austria, with additional offices in London, Katowice, Sofia and New York.

If you are excited to join our journey, but you cannot find an open job which matches your skills and interest - just send us your CV and ideally also attach a cover letter detailing which area(s) you are interested in.

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

We are looking for a curious and driven Junior Python Engineer to join our product organisation. You'll help build features that genuinely solve problems for our users, working alongside experienced colleagues and mentors from day one.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

We are looking for a proactive and detail-oriented Product Owner who thrives working shoulder-to-shoulder with engineers and turns customer, market and stakeholder signal into clear priorities. In this role, you will sit inside a product engineering team, alongside the lead and product engineers, shaping problem statements, backlog and sprint plans that the whole team believes in.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

We are looking for a Quality Engineer who combines strong technical testing instincts with a genuine curiosity about how software breaks. In this role, you will own the quality signal for your pod — building the systems, tests, and habits that let the team ship fast without shipping broken things, while working as a true peer alongside product engineers and PMs rather than as a downstream QA function.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

We are looking for a Senior Full Stack Engineer (Senior Product Engineer) to own the technical direction and delivery of solutions in one of our teams. You aren’t just here to write code - you are a partner in the product journey, helping us shape architecture, refine the work breakdown, and advocate for performance and security at every step.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

We are looking for a customer-focused Senior Professional Services Consultant to join our New York team. In this role, you'll engage directly with key customers, delivering expert, tailored consulting that meets their technical needs, while also playing a hands-on role in one of our newest AI product launches. You'll be instrumental in driving customer satisfaction and long-term success, helping our clients unlock the full value of our platform.

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

We are looking for a Service Support Specialist (Night Shift), who will support our customers during LATAM business hours (17:00 – 01:00 Local Time). You will act as a technical expert during your shift, driving resolution of complex software issues and partnering with support agents to ensure timely, high-quality customer outcomes.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

The base salary we offer for this position is €25,000.00 - €35,000.00 per year depending on location and experience.
Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

We are looking for a strategic and customer-focused Technical Customer Success Manager who combines strong relationship-building skills with a consultative, solutions-driven mindset. In this role, you will act as a trusted partner to our customers, guiding them through implementation, adoption, and long-term growth on our platform, with a particular focus on our Enterprise accounts.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

Zum Job Inserat

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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Ansprechpartner

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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Ansprechpartner

Product Owner Department: Product Management Sofia Creation dateWe are looking for a proactive and detail-oriented Product Owner who thrives working shoulder-to-shoulder with engineers and turns customer, market and stakeholder signal into clear...

Adverity GmbH

This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

Zum Job Inserat

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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Ansprechpartner

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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Ansprechpartner

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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Ansprechpartner

Product Owner Department: Product Management Sofia Creation dateWe are looking for a proactive and detail-oriented Product Owner who thrives working shoulder-to-shoulder with engineers and turns customer, market and stakeholder signal into clear...

Adverity GmbH

This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

Zum Job Inserat

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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Ansprechpartner

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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Ansprechpartner

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This is a full-time position based in London on hybrid basis. 3 Days a week in our Offices.
The target compensation package is £110k–£150k OTE on a 50:50 split (£55k–£75k base).

Influence and engage decision-makers regarding their marketing data and analytics strategy and operations.
Create, maintain, close and continually develop a pipeline focused primarily on businesses in the EMEA region within a variety of verticals.
Build relationships via email, phone and B2B networks, events and face-to-face meetings.
Collaborate with marketing, product and security teams to ensure effective communication and follow-up on leads in your pipeline.
Partner with solutions consultants and engineers to develop customised solutions that meet customers' needs.
Demonstrate Adverity's solution and capabilities to potential customers through a strategic deal process including demos, POCs, and other sales activities.
Consistently maintain HubSpot CRM to track opportunities and activities, while providing accurate forecasting and reporting of activity.

Previous successful experience as a consultative solution seller in the SaaS (martech/adtech/data analytics) industry, where you have met or exceeded your targets.
Knowledge of the data, measurement, or marketing landscape.
Excellent negotiating skills with a positive demeanour. Success-oriented, proactive and self-motivated mindset.
Ability to take an experimental approach to the sales process and thrive in a fast-paced, test-and-learn environment.
Desire to learn and stay up-to-date on technology trends, developments & best practices.
Strong project management skills is a plus.

Through a deep understanding of customer objectives, the role positions Adverity as a critical enabler of strategic business outcomes—not just a platform provider.

This is a full-time position based in our Vienna office or London Office working on a hybrid basis.

Drive revenue growth through strategic upsells and cross-sells, aligning Adverity’s evolving capabilities (e.g., AI analytics, Data Quality) with customer pain points.
Proactively identify commercial opportunities within your portfolio, turning business challenges into expansion conversations.
Build and deliver compelling, data-backed business cases that connect product functionality to measurable ROI and strategic business outcomes.
Consistently exceed Net Revenue Retention (NRR) targets by unlocking new revenue streams and minimizing contraction.
Position Adverity as a critical pillar in the customer’s data strategy, steering conversations away from features and toward long-term value.
Own the commercial execution of your accounts end-to-end—from opportunity spotting to deal closing and internal alignment.
Build deep, multi-threaded relationships with executive stakeholders to secure influence and elevate commercial positioning.
Anticipate renewal risks early and neutralize churn threats with value reinforcement and competitive differentiation.
Maintain rigorous CRM documentation to support account planning, forecasting, and stakeholder visibility.
Champion the customer’s voice across internal teams to ensure our roadmap and services fuel commercial expansion and retention.

Proven track record of driving revenue expansion in SaaS, ideally in a Data Platform or AdTech / MarTech environment.
Fluency in German (native or bilingual proficiency / C2 level) and English is required for this role.
Strong sales instincts with demonstrated success in identifying, developing, and closing upsell and cross-sell opportunities.
Skilled in crafting persuasive business cases and commercial narratives tied to customer KPIs and ROI outcomes.
Deep understanding of enterprise buying cycles, commercial drivers, and stakeholder motivations.
Comfortable engaging and influencing executive-level stakeholders and economic buyers to drive deal progression.
Experience navigating complex accounts and multi-threaded relationships to accelerate commercial outcomes.
Strong financial and strategic acumen—able to link data and product features to top-line impact.
Proficiency in CRM and success tools (e.g., Gainsight), including forecasting, account planning, and stakeholder mapping.
Effective at using AI tools and modern productivity tech to streamline operations and focus on revenue-driving activities.
Self-directed and outcome-obsessed, with a relentless focus on growth.

Regular team events (also remote)
Adverity Social Responsibility Days (+1 day paid off)

The following package applies exclusively to hires based in Vienna, Austria:

Role summary

Key responsibilities

Lead category creation — defining and driving the market narrative for the space Adverity competes in, and arming executive spokespeople to deliver it publicly
Lead market education — building the market's understanding of the problem Adverity solves, through explainer content, practitioner-level education, and analyst engagement
Own content strategy and editorial direction — the framework and standards flowing into campaigns, ABM, PMM, and thought leadership
Own PR and communications strategy — managing the external PR agency and earned media presence
Lead executive thought leadership programmes for senior spokespeople
Lead AEO strategy and share-of-voice growth through content, PR, and editorial output
Set editorial standards and quality bar for all written marketing output
Shape and evolve the agentic systems and processes supporting content, AEO optimisation, scheduling, and distribution

What you bring

Extensive experience in brand, content, or communications leadership in B2B SaaS
Demonstrable track record growing share of voice in a competitive category
Experience leading AEO, SEO, or AI-search visibility programmes at scale
Hands-on editorial chops — capable of setting voice and directing senior content and design talent at the working level
Experience managing PR agencies and securing tier-one earned media
Experience owning organic social and executive thought leadership programmes
Experience deploying AI and agentic tooling in a content production context

Career opportunities:

Depending on your field of expertise, you can apply for any team in our company, for example: Development, Data Science, UX, Product Management, Marketing, Client Services, Solutions Consulting, Implementation, Sales or any central function (e.g. Finance).
With your unique skills and experience, you will contribute to our exciting journey!

A great interest in our products and how we make our client's lives easier.
Ideally, you have worked in a SaaS environment before and also understand the world of marketing and data.
Your English is fluent and depending on the role, sometimes also German might be a great plus.

Ergonomic workspace and cutting edge technology
Free company health coaching
Regular team events (also remote) and a yearly global team trip
An exciting ride in one of the coolest tech scaleups

Apply now if you are ready to revolutionize the way businesses work with marketing data.

This is a full-time role based in Vienna. We ask you to be in the office three times per week, as we value in-person collaboration and see real benefit in it.

Join a team and work closely with colleagues, mentors, and team leads.
Get up to speed on our engineering practices and product landscape through your first projects.
Build and maintain features, enhancements, and bug fixes, with support from experienced team members.
Collaborate with stakeholders across the product organisation and customer-facing teams.
Contribute across the development lifecycle, from analysis and design to testing and code review.
Help improve product quality, reliability, and the overall user experience.
Partner with AI tools and agents to speed up analysis, implementation, and problem-solving.
Take ownership of your work, thinking beyond the code to its impact on users and the business.

Good knowledge of Python and software development fundamentals.
Familiarity with modern development tools, frameworks, and databases.
A genuine product mindset, with curiosity about the "why" behind what you build, not just the "how".
Strong communication and collaboration skills, with proficiency in English.
A curious, proactive attitude and eagerness to learn and grow.
Comfort working with AI-assisted and agent-driven development tools.
An interest in building solutions that deliver value to users and the business.

Lunch allowance for our inhouse restaurant
Public transportation ticket (Wiener Linien Jahreskarte)

The minimum base salary we offer is €46.000 gross per year. The final offer will match your experience, with a willingness to overpay based on qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia, Bulgaria. We value in person collaboration and meet in the office at least 3 times a week.

Bring outside context into the team, including customer feedback, support trends, usage data and competitive landscape.

Write clear, honest problem statements that a product engineer can pick up and run with.
Track outcomes after a feature ships, not just whether it ships.
Keep the backlog tidy and up to date in Jira, drafting new items and retiring stale ones.
Draft problem statements and acceptance criteria for new tickets, finishing acceptance criteria jointly with a product engineer where needed.
Run backlog grooming as a working session with product engineers.
Bring a clear "why it matters" into sprint planning and set the sprint goal together with the lead and product engineers.
Surface new signal that could shift priorities and work through trade-offs before committing to changes mid-sprint.
Shape and sequence the roadmap together with the lead and engineers, and own the "what problem is worth solving" call.
Join sprint reviews and demos to check delivered work against the original problem.

3+ years of experience as a Product Owner, Product Manager or similar role, with real day-to-day ownership of a backlog.
Hands-on experience running Jira, including writing tickets and running or co-running grooming sessions.
Comfort working shoulder-to-shoulder with engineers rather than handing off finished specs.
Strong plain-language writing skills for problem statements and acceptance criteria.
Enough technical fluency to follow a trade-off conversation and ask the right questions.
A track record of prioritising under pressure, including saying no and explaining why.
Genuine curiosity about the "why" behind customer and business problems.
Familiarity with tools like Notion, Mixpanel or Amplitude for tracking outcomes post-launch.
Some direct customer-facing experience, such as support, sales engineering, customer success or research.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time role based in Sofia. We ask that you join us in the office three times a week, as we value in-person collaboration and see real benefit in the connections it creates.

Design and maintain automated test coverage across unit, integration, and end-to-end tests as a shared, versioned part of the codebase.
Build and maintain the tooling that gives the pod fast, reliable feedback, including CI pipelines, test environments, synthetic data, and monitoring hooks.
Spot gaps in test coverage before they become incidents, and make the case for closing them with evidence.
Surface risk clearly so the pod can decide with confidence whether to ship, delay, or ship with a flag.
Bring a user's-eye view into planning conversations, flagging edge cases and failure modes early in design and build.
Lead root-cause analysis on production issues within the pod's quality domain, with a focus on systemic fixes.
Track quality trends over time, such as flakiness, escaped defects, and time-to-detect, and feed them into prioritisation discussions.
Pair with other engineers on testing strategy, helping testing skill spread across the whole pod.
Build features and fix bugs alongside the rest of the pod.

Proven experience in a quality or test engineering role on a product engineering team, or equivalent experience as a software engineer with a strong testing focus.
A track record of building automated test coverage in a real production codebase.
Experience building or maintaining CI/CD pipelines and test infrastructure, such as GitHub Actions, Jenkins, or CircleCI.
Experience leading or contributing to root-cause analysis on production incidents.
Solid coding ability in Python, strong enough to write production code rather than just test scripts.
Confidence designing test strategy for a feature from scratch, knowing what to automate and what to leave to exploratory testing.
Working knowledge of testing types relevant to the product, such as API, load/performance, or data pipeline testing.
Familiarity with monitoring and observability tooling, such as Datadog or Grafana, to build signal into dashboards.

Modern offices

Are you ready to apply?
The base salary we offer is EUR 30,000–40,000 gross per year. The final offer will match your experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time, hybrid position based in Vienna. We value in-person collaboration, so regular office presence is a priority (3 times a week).

Some of the things you’ll do:

In the first month

Get to know your product development team and get familiar with our products, technologies, systems & architecture, processes and practices.
Absorb our engineering culture, start coding and ramp-up quickly within the Adverity universe.
Get to know the architecture and codebase inside-out.

In the first 6 months

Support your product development team with deep code reviews, guiding them towards better system quality and engineering practices.
Participate in shaping new features by getting your hands dirty in PoCs, breaking down technical scopes, and commence working on team deliveries.

Beyond the first 6 months

At this point, you know the Adverity platform very well, both product and tech.
Participate in strategic cross-product engineering initiatives and help product development teams towards pragmatic technical decisions based on limited context, striving to constantly improve maintainability and reliability.
You increase your impact beyond your product development team to the whole engineering team & beyond.

Product-driven mindset: a strong focus on understanding users and solving real problems with intuitive, user-friendly tools.
Daily use of AI tools (e.g. coding copilots, LLM-based design assistants, automation agents) and the ability to integrate AI reasoning and automation into workflows across coding, documentation, testing, and deployment.
Fluency in Python and (preferably) the Django framework, with experience managing large-scale production systems and building REST APIs.
Strong communication and collaboration skills: you’re proactive, listen carefully, and collaborate closely with product, design, engineering, and other stakeholders.
A passion for learning, experimenting, and turning new AI tools into practical, repeatable workflows — always keeping user value at the core.

During your career you successfully mentored and coached engineers.
Experience with data products and its challenges.
Skill in demonstrating AI-driven productivity to peers and driving adoption within technical teams.

Ergonomic workspace and cutting edge technology
Public transportation ticket for Vienna

The minimum gross salary is €70,000. In any case, we offer competitive salaries depending on your qualifications and experience.

Apply now if you are ready to revolutionise the way businesses work with marketing data. We look forward to meeting you!

This is a full-time role based in New York. We ask the team to be in the office three times a week to keep collaboration and connection strong.

Act as an embedded domain expert during onboarding of some of our newest AI products, helping customers reach value quickly. You will partner cross functionally with sales, product, engineering and account management to accelerate adoption and value for customers
Learn each customer's architecture and use case, so you become their trusted partner for adopting Atlas across the full platform, not just a single workflow
Serve as a strategic, day-to-day partner for customers, guiding them on product functionality and working closely with our product and engineering teams.
Scope and deliver client-specific requirements, demo tailored demos, and run hands-on training that gets customers querying their marketing data with confidence
Take a consultative approach to help customers get the most value from our platform, driving adoption, retention, and growth.
Spot recurring patterns and themes across accounts, feeding insights back to internal teams to improve our product and service.
Champion our shift towards customer success and growth, particularly on Enterprise accounts.
Partner with customers on short- and long-term initiatives, supporting Account Management in identifying upsell opportunities.
Guide customer escalations, both within our team and with external partners.

A customer-centric, empathetic approach, with a genuine drive to help clients reach their goals.
Experience in a SaaS company, in a customer success, implementation, or consulting capacity, or within a media agency.
Essential experience in Digital Marketing.
Comfort working with REST APIs and a strong affinity for SaaS and technology.
An analytical, curious mindset, with a knack for spotting patterns and translating customer needs into practical solutions
A genuine interest in AI and how it's changing marketing operations — you've used AI tools yourself, you're curious about their limits (why they get answers wrong, not just when they get them right), and you want to help customers see where Atlas fits into their AI strategy.
Excellent organisational, communication, and time-management skills, with the ability to prioritise effectively in a fast-paced, scale-up environment.
A positive, can-do attitude and strong team-player mentality, comfortable navigating ambiguity and change.

401k matching scheme
20 days PTO (excl. US public holidays and additional sick days)
Modern and stylish office in the heart of New York

Are you ready to apply?
The base salary we offer is USD 130,000–145,000. The final offer will be in line with your experience and skills.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time night shift position based remotely in Bulgaria or Poland.

Technical Support & Knowledge Sharing: Perform ticket audits and deliver hands-on support for complex API and ETL troubleshooting. Share best practices and insights to help agents continuously improve their approach.
Advanced Troubleshooting: Actively own and resolve complex customer cases via email and video calls. You will deep-dive into product usage, operational matters, and technical integrations (APIs) to provide tailored solutions.
Consultative Partnership: Act as a solution partner for clients, analysing usage patterns and helping them maximise product adoption through guidance on best practices.
Knowledge Management: Identify recurring trends during the night shift to refine help documentation and validate the accuracy of AI-powered support tools.

Previous experience in a 2nd line B2B support role within a SaaS product company.
A consultative mindset with genuine empathy.
Outstanding written and verbal communication skills, with the ability to build trust and rapport. Strong proficiency in English is required.
Experience with support ticketing systems such as Zendesk.
Excellent prioritisation and multitasking skills, with the ability to manage real-time workloads effectively.

Exposure to web technologies and related stacks (API, ETL, SQL), with confidence troubleshooting technical integrations.
Experience with ETL / data analytics platforms.

This is a full-time role based in London. We ask that you join us in the office 3 times per week, as we value in-person collaboration and see real benefit in the connections and teamwork it creates.

Serving as a strategic, day-to-day partner for customers, offering expert guidance on product functionality and addressing solution-related needs as they evolve.
Leading the scoping and delivery of client-specific requirements, demoing tailored solutions, and providing hands-on training or technical implementation to ensure successful platform adoption.
Taking a consultative approach to guide customers in getting the most value from our platform, with the goal of driving adoption, retention, and overall growth of our customer base.
Gauging customers' levels of engagement with the company and feeding back to other teams on product and service improvements.
Acting as our role model in championing a shift towards customer success and growth, particularly for our Enterprise accounts.
Partnering with customers on both short- and long-term initiatives, and supporting our Account Management team in identifying and executing upsell opportunities.
Guiding customer escalations, both within our team and with external partners.

Relevant work experience, preferably in a SaaS company in a similar role (professional services, implementation, customer success, etc.) or in a media agency.
Experience working with Enterprise accounts.
A good understanding of digital marketing.
Experience in a scale-up environment, where we move quickly and wear many hats.
Strong IT affinity, along with an analytical and problem-solving mindset.
A client-oriented personality, team spirit, and an empathetic, positive attitude with a genuine desire to help our customers reach their goals.
Excellent organisational and communication skills, with strong time-management abilities.

Flexible working hours and home office (2x per week)
Modern and stylish office in the heart of London
Pension scheme
25 days annual leave (excluding UK public holidays)
Private health insurance
Cycle to Work scheme

The salary for this position ranges from £65,000 to £75,000 per year, based on experience and qualifications.

Apply now if you are ready to revolutionise the way businesses work with marketing data.

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