Senior Data Product Manager

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.