Senior Product Manager (Data Products)
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Before you apply
LocationUnited Kingdom, Athens, GR
Work modehybrid
Typefull-time
SenioritySenior
DepartmentProduct
Company size501â1,000 people
PostedOct 26, 2026 · 1w ago
Verified live3d ago
At a glanceSummarised by Seekless from the posting.
Shipped AI, ML, data or analytics products at a B2B company, ideally SaaS
Understands how AI and ML products are built (LLMs, retrieval, agents, predictive models)
Comfortable with data; works with engineers on data quality, modelling, and delivery
Built complex roadmaps with cross-functional dependencies
Makes informed decisions at pace with incomplete information
Strong problem solver, negotiator, and influencer
Explains complex things clearly to different audiences: execs, engineers, customers
Asks questions and draws knowledge out of team to find right solutions
Worked in market research, consumer insight or analytics, with large-scale survey or behavioural datasets, or on usage-based pricing for AI or API products
All stages of the recruitment process will be conducted in English
Skills
AI
ML
LLMs
APIs
data pipelines
analytics
Benefits
Health insurance
Annual leave
Flexible hours
Remote flexibility
Training budget
Parental leave
Weekly office requirement: 2 days per week, Mondays & Wednesdays
Employment type: Permanent
Seniority level: Senior
Language: All stages of the recruitment process will be conducted in English
About the role
At GWI weâre always looking for extraordinary people who thrive on making an extraordinary impact. Right now weâre looking for a Senior Product Manager to play a key role in our Data Product team in Athens. If thatâs you, and making a difference gets you out of bed in the morning, keep reading. It could be the start of something, well, extraordinary.
Sounds great, what will I be doing? đ€
As our Senior Product Manager youâll own a new suite of AI and ML-powered data products at the forefront of innovation in the market research industry. This is a chance to shape how businesses around the world access and act on consumer insight, and to define what AI-native market research looks like rather than follow someone elseâs lead.
Youâll set the vision and strategy for the suite, turn it into a roadmap, and lead the squad that builds it. Youâll work closely with Data Science, ML and Engineering, as well as Design, Sales, Client Success, Marketing and Finance, with plenty of direct contact with clients and prospects.
A few things youâll be responsible for:
đ Defining the vision, strategy, and positioning of our new AI and data product suite, and how it fits into GWIâs wider platform
đ Identifying where AI and ML create real value for clients, and separating whatâs genuinely useful from whatâs just novel
đ Working with Data Science and ML Engineering on the models, data, pipelines and methodology behind the products, so they are accurate, reliable, scalable, and trusted
đ Defining how we measure AI quality, including evaluation frameworks, accuracy and reliability benchmarks, and feedback loops, and deciding what âgood enough to shipâ means
đ Shaping our approach to responsible AI, covering transparency, data governance, privacy and explainability, so clients can trust what the products tell them
đ Building the roadmap from client feedback, market and competitor insight, internal stakeholder input and usage analytics, then prioritising the most valuable work
đ Taking products from early discovery and prototyping through to launch and adoption, including shaping the commercial model, pricing and packaging with Finance and Revenue teams (including usage-based and consumption models)
đ Communicating progress, trade-offs and results clearly to the Exec team and wider business
Itâs also fun. Shaking things up is what working for GWI is all about. In a fast-moving AI landscape, youâll need to be flexible, comfortable with continuous change, and happy working in a high-tempo environment.
What do I need to bring with me? đ§ł
Youâll need to be able to demonstrate the core skills this role requires. You donât have to tick all the boxes right away; the important thing is that youâre willing to learn. Hereâs what the team will be looking for in you:
đ Youâve shipped AI, ML, data or analytics products at a B2B company, ideally SaaS
đ You understand how AI and ML products are built (for example, LLMs, retrieval, agents, predictive models)
đ Youâre comfortable with data. You can work with engineers on data quality, modelling, and delivery (APIs, dashboards, integrations)
đ Youâve built complex roadmaps with cross-functional dependencies, and you can balance multiple priorities without losing the plot
đ You make informed decisions at pace, even when the picture isnât complete, and youâre happy taking a big initiative and running with it
đ Youâre a strong problem solver, negotiator, and influencer. You get alignment without needing authority
đ You explain complex things clearly to very different audiences: execs, engineers, customers
đ You ask questions and draw knowledge out of your team to find the right engineering, data science and design solutions
Nice to have
đ Bonus points if youâve worked in market research, consumer insight or analytics, with large-scale survey or behavioural datasets, or on usage-based pricing for AI or API products
Equally important is attitude. We want people who think big (to make an impact), ask why (to find a better way), and show respect (to everyone, at every level, all the time). Those are our values, and theyâre a big part of what weâre looking for in you.
Why Join Us
Benefits
đ Youâll work on a new AI-powered product suite at the leading edge of the market research industry
đ Youâll build on GWIâs large-scale consumer datasets, a strong foundation for AI products that competitors canât easily replicate
đ Youâll have room to shape the strategy and run your own squad your way
What We Offer đ§
At GWI, youâll find meaningful work, visible impact, and a culture that empowers you to do your best. Our package includes:
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Time to recharge â 25 daysâ annual leave and office closures over the holidays.
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Health & wellbeing â Private insurance for you and your family, plus mental and physical wellbeing support.
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Financial benefits â Competitive salary, reward and recognition programs, and payroll giving options.
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Flexibility & balance â Flexitime, early Friday finishes, work-from-anywhere freedom, and a âwork from homeâ budget.
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Family first â Enhanced parental leave and carer days so you can prioritise what matters most.
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Career growth â Accredited learning, a generous training budget, and a fully paid international conference each year for Engineering and Data Science roles.
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Community & impact â DE&I committee, volunteering opportunities, 100% donation matching, and ways to give back locally.
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Extra perks â Mobile phone contract and restaurant ticket options for added convenience.
Diversity, Equity & Inclusion đ«¶
Diversity is fundamental to who we areâas a data company and as a workplace. Our data reflects global realities, and so must our teams. We strive to build a workforce as diverse and inclusive as the insights we deliver.
Legal
As a Disability Confident employer, we welcome applications from disabled candidates and are committed to making adjustments throughout the hiring processâwhether thatâs extra time, materials in advance or a different format, breaks, an adjusted interview format, assistive tools, or flexible scheduling. Weâre happy to discuss whatever would work best for you.
We actively encourage applications from underrepresented and marginalised communities.
At GWI, youâll find a place to contribute meaningfully, grow professionally, and belong fully.