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Cognism is the leading provider of European B2B data and sales intelligence. The company serves ambitious businesses of every size, helping them discover, connect, and engage with qualified decision-makers faster to close more deals. Cognism is headquartered in London with global offices.
This is a strategic product management role focused on owning data products end-to-end. You will be responsible for understanding customer problems, shaping what gets built, and ensuring products land and create measurable value. Your leverage comes from the quality of your product decisions and your ability to align others around them.
Key Responsibilities:
- Own the full product development cycle for data products, from discovery and validation through launch, adoption, and iteration
- Define requirements, set priorities, and make clear scope decisions about what products should and should not do
- Work closely with data engineering and data science teams to shape high-quality data assets that customers can trust, delivered across CRMs, APIs, and agentic systems
- Ground every product decision in a customer use case and a commercial outcome, not just technical capability
- Own the strategy for your product area—where it's headed, what to bet on, and how it aligns with the wider product vision
- Manage the data products in your area, including who they serve and how they earn their place in customer workflows
- Understand customer use cases behind products—which segments benefit, in which workflows, and to what outcome
- Own the quality of data assets you manage: accuracy, coverage, freshness, and delivery reliability
- Deliver the roadmap for your products—what to build, in what order, and what to deliberately leave out
- Prove adoption and value—that what ships solves the intended problem, not just that it shipped
Requirements:
- Experience delivering data through APIs, MCPs, or integrations—building for programmatic and agentic consumption, not just UI
- Experience monetizing or packaging data products—shaping pricing and usage models for how data is bought
- Familiarity with the go-to-market tech ecosystem—the CRM and sales and marketing tools that data integrates into
- Strong background in product management with demonstrated ability to own products end-to-end
- Customer-centric mindset with ability to translate customer problems into buildable products
- Ability to work cross-functionally with engineering, data science, and go-to-market teams
