Senior Data Product Manager

Senior Data Product Manager

VilniusProduct – Data Team /Hybridapply for this jobWe’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies. What’s in store for you: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.In this role, you will:

- 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.

Your skills & experience:

- 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.

Salary & Benefits:

- Gross salary: 5700-6700 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.

- 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.

- Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: https://career.oxylabs.io/blog/our-work-benefits/.

Up for the challenge? Let’s talk! We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.apply for this job