Senior Data Product Manager

We’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: .