Product Lead, Private Data Fabric

Location: London

Employment Type: Full time

Location Type: Hybrid

Department: Product Management

Founded in 2018, Causaly’s AI platform for enterprise-scale scientific research redefines the limits of human productivity. We give humans a powerful new way to find, visualize and interpret biomedical knowledge and automate critical research workflows, accelerating solutions for some of the greatest health challenges we face. We work with some of the world’s largest biopharma companies and institutions on use cases spanning Drug Discovery, Safety and Competitive Intelligence.

About the role:

Private Data is the next major chapter of Causaly’s product. Causaly already helps the world’s leading biopharma organisations extract insight from vast public biomedical knowledge. The next wave of value comes from combining that intelligence with customers’ proprietary data, securely, intelligently, and at enterprise scale. By bringing together knowledge graphs, agentic AI, and private scientific data, we enable customers to move beyond surface-level discovery — uncovering connections, risks, and opportunities that would otherwise remain hidden. This unlocks a new class of insight for R&D leaders, helping them make faster, more confident decisions in areas where evidence is fragmented and the stakes are high.

This is one of the most strategic initiatives in Product at Causaly. The Product Lead for Private Data will shape how this vision becomes reality — defining the product direction and leading the creation of a category-defining capability at the heart of our platform. As Product Lead for Private Data, you will own the strategy, roadmap, and execution of a new class of enterprise data product that enables customers to safely bring their most valuable proprietary data into Causaly. This role sits at the intersection of AI, data platforms, enterprise deployment, and customer workflows. It requires a product leader who can think holistically, partner deeply with engineers and data scientists, and work directly with customers to design solutions that scale from early use cases to organisation-wide adoption.

Private Data is already in motion, and speed is essential. You will be expected to move fast, make decisions with imperfect information, and drive execution from day one — cutting through ambiguity to put real product into customers’ hands quickly, then iterating based on learning and impact. This is a demanding role, suited to someone who is energised by complexity, ownership, and momentum.

What you’ll do:

• Lead Private Data from vision to reality, with end-to-end ownership.
• Define and evolve the long-term vision and product strategy for Private Data, translating customer needs and company goals into a clear, compelling roadmap.
• Drive rapid execution across discovery, prototyping, and delivery — prioritising learning and customer value over perfection.
• Break down ambiguous problem spaces into clear, actionable plans, milestones, and trade-offs.
• Partner closely with engineering and data science to shape technically sound, scalable solutions.
• Lead fast cycles of prototyping, validation, and iteration with early customers.
• Work directly with enterprise customers to design use cases, rollout strategies, and adoption models that unlock real scientific and commercial value.
• Collaborate closely with Product, Engineering, R&D, GTM, and Customer Success to ensure what we build is viable, usable, and impactful.
• Act as a key product voice internally and externally, communicating direction, progress, and trade-offs to executives, customers, and the wider organisation.
• Serve as a force-multiplier for the team — unblocking decisions, maintaining momentum, and raising the bar for execution.

What we’re looking for:

We’re looking for a senior product leader who combines strategic thinking with hands-on execution, and who thrives in fast-moving, technically complex enterprise environments. You will bring:

• A proven track record of building and launching enterprise B2B SaaS products, ideally in data-rich or technically complex domains.
• Experience working on data-driven or AI-enabled products, with the technical fluency to partner deeply with engineers and data scientists.
• Demonstrated ability to lead products through high-ambiguity, high-urgency phases, setting direction and driving delivery without waiting for perfect information.
• Strong execution instincts, with experience rapidly prototyping, iterating, and learning from real customer usage.
• Comfort making pragmatic trade-offs to deliver value quickly, while maintaining a clear long-term product direction.
• A data-informed mindset, using research, metrics, and judgment to guide decisions.
• Excellent communication skills, with credibility across technical teams, customers, and senior commercial and executive stakeholders.

This role is best suited to someone who enjoys operating at pace and is motivated by turning ambiguity into forward momentum.

What we’d love to see:

• Experience taking products from 0 to 1, especially where customer or proprietary data plays a central role.
• Exposure to regulated or security-sensitive environments (e.g. healthcare, life sciences, finance), though deep domain expertise is not required.
• Strong curiosity, learning mindset, and appetite for tackling complex problems.
• Interest in coaching and supporting the growth of other product managers.

Benefits:

• Competitive compensation package.
• Private medical insurance.
• Private dental insurance.
• Life insurance (4 x salary).
• Personal development budget.
• Individual wellbeing budget.
• 25 days holiday plus bank holidays.
• Your birthday off!
• Potential to have real impact and accelerated career growth as a member of an international team that’s building a transformative AI product.

We are on a mission to accelerate scientific breakthroughs for ALL humankind, and we are proud to be an equal opportunity employer. We welcome applications from all backgrounds and fairly consider qualified candidates without regard to race, ethnic or national origin, gender, gender identity or expression, sexual orientation, disability, neurodiversity, genetics, age, religion or belief, marital/civil partnership status, domestic/family status, veteran status or any other difference.