Customer understanding

• Turn customer needs into clear data requirements that engineering and data teams can build against.
• Validate that what you build creates value - decide up front how you will know a product is working, and test it with real customers.
• Partner with Sales and Customer Success so customers realise the value of the data, and feed what you learn back into the product.

Data quality and governance

• Own the quality of the data assets in your area and set the standard customers can rely on.
• Decide how to surface confidence, freshness, and match quality to customers where it affects trust and adoption.
• Build GDPR compliance and data governance into the product from the start.
• Put evaluation frameworks in place - specific to data products - to measure data quality objectively and improve it continuously, so you can prove the data meets the standard customers rely on.
• Work with data sourcing teams to expand and strengthen the datasets behind your products - deciding what to source, build, or partner for.

Stakeholder Management

• Act as the primary point of contact for your product area across Engineering, Data Science, Sales, Customer Success, Commercial, and Compliance — translating between technical and commercial language as needed.
• Manage dependencies with product peers who own adjacent surfaces; where priorities conflict, resolve disagreements directly and drive to a decision without escalation unless necessary.
• Keep senior stakeholders (e.g. leadership, commercial leads) informed of roadmap trade-offs and progress, proactively surfacing risks before they become blockers.
• Build trust with customer-facing teams (Sales, CS) so they can represent your product accurately and feed real customer signal back into your roadmap.
• Where a decision affects multiple teams, take ownership of driving alignment — running the discussion, not just attending it.

Market awareness

• Keep a current view of the B2B data market - how it is evolving, who the key players are, and what customers are choosing and why.
• Use that view to sharpen your products and spot where Cognism's data can create differentiated value.

What We Are Looking For

A specialist data product person - not a generalist - who has owned a data product end to end: defined what it needed to be, built it, evaluated it, brought it to market, and can speak to the customer impact it created. You understand how data and models work, lead with curiosity about the customer, and land with real outcomes.

Must-Haves

• 5+ years in product roles, with direct experience owning data products or data-driven features in a B2B SaaS or technology business.
• Proven ability to define and own data use cases - mapping customer segments, workflows, and outcomes into a clear product direction.
• Experience setting product strategy for an area you own - deciding where to focus, what to bet on, and what to say no to.
• Direct experience treating data as a product: you have defined a data offering, built it, brought it to market, and can speak to the impact.
• Commercially minded - you understand how customers buy and what drives value for them, and your instinct is to build the right product.
• A track record of customer discovery - interviews, research, or feedback loops that directly shaped a product direction.
• Technically fluent enough to work credibly alongside engineering and data teams.
• Hands-on experience building ML-driven data features - you don't need to be a data scientist, but you understand how models, enrichment, and signals work, can evaluate their quality, and can shape products around them.
• A strong cross-functional collaborator who can bring product, engineering, and commercial teams into alignment.
• A clear communicator who can make a complex data proposition simple for a customer.
• Able to work with compliance and security experts to build compliance and security in by design.

Nice-to-Haves

• Experience in B2B sales intelligence, intent data, contact data, or a related data category.
• Experience in a scale-up or high-growth environment where you have built strategy and execution at the same time.
• Experience delivering data through APIs, MCPs, or integrations - building for programmatic and agentic consumption, not just a UI.
• Experience monetising 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 our data plugs into.

WHY COGNISM

At Cognism, we’re not just building a company - we’re building an inclusive community of brilliant, diverse people who support, challenge, and inspire each other every day. If you’re looking for a place where your work truly makes an impact, you’re in the right spot!

Our values aren’t just words on a page—they guide how we work, how we treat each other, and how we grow together. They shape our culture, drive our success, and ensure that everyone feels valued, heard, and empowered to do their best work.

Here’s what we stand for:

🤝 We Own the Outcome Together.

🤓 We Deeply Understand our Customers.

🏆 We Celebrate Impact Wherever It Comes From.

At Cognism, we are committed to fostering an inclusive, diverse, and supportive workplace. We welcome applications from individuals typically underrepresented in tech, so if this role excites you but you’re unsure if you meet every requirement, we encourage you to apply!