Senior Data Product Manager

You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.

• Own the Data Product roadmap end-to-end; decide which datasets exist and how they evolve to stay ahead of what customers can build themselves.
• Design and ship multi-source datasets by combining sources in ways customers can't easily replicate - figuring out what new value emerges when you fuse the right inputs.
• Lead the productisation of ML and AI capabilities into the data itself.
• Make the hard tradeoff calls on ML-powered fields - coverage vs. precision, latency vs. cost, when a model is good enough to ship and when it needs another iteration.
• Define what "good" data quality means from the customer's perspective - accuracy, completeness, freshness as commitments we make to customers - and own the business-level rules that determine whether the data is correct.
• Drive customer discovery: spend time with existing and prospective customers, understand what data problems they're trying to solve, where current datasets fall short, and what would unlock new revenue if it existed.
• Work with stakeholders outside Product - sales, customer Success, marketing - to keep the roadmap connected to commercial reality.
• Own backlog, sprint planning, and user stories - but as the natural output of strategy, not the job itself.

• At least 5 years of proven experience as a Product Manager, Technical Product Manager, or Senior Product Owner, ideally on a data, API, or platform product.
• Strong product thinking: discovery, customer research, prioritisation, owning outcomes - not just managing a backlog.
• Technical fluency: comfortable reasoning about data pipelines, schemas, transformations, and inferred fields well enough to make tradeoff decisions and have credible conversations with engineers.
• Experience designing or shaping datasets as a product — deciding what fields exist, what they mean, how they evolve.
• Experience working with cross-functional teams and stakeholders outside product (Sales, Customer Success, Marketing).
• Comfortable operating in ambiguity — this is a new role and the person needs to help shape it, not just inherit a defined role.
• Strong written and verbal communication in English.

Nice to have

• Experience with B2B data, SaaS, or API products.
• Hands-on familiarity with how data moves through a system - extraction, transformation, storage, enrichment, delivery.
• Experience working on a product where data quality is a customer commitment, not just an internal metric.
• Experience splitting or scaling product squads, or being part of a newly formed team.
• Familiarity with how LLMs, embeddings, or semantic search consume structured data - useful for working with the CASE squad.

• Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
• Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
• Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
• Bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need.
• Vast internal & external learning resources.
• Guilds, communities & 500+ professionals by your side.
• Tesonet network & knowledge sharing.
• Yearly workation.
• Year-round internal & Tesonet community events.
• Team building budget.
• Cyber City office perks.
• Hybrid work (3 office days/ 2 WFH) & WFA options.
• Latest tools, gadgets & tech stack.
• Extra days off.
• Special Tesonet product deals.
• Private health insurance.
• 24/7 gym.
• Physical well-being specialists.
• Psychologist/psychotherapist sessions.
• Inclusive family-related time-off policy.