Senior Data Product Manager

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.