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About the Role

We are looking for a Senior Product Manager with deep product judgment to own the strategy for knowledge management and AI at LeapSpace. This role involves defining the product vision, developing a staged path from current features to an ambitious future state of an AI-maintained knowledge base, and delivering through a dedicated squad. You will focus on the product's memory, personalization, and reasoning over researcher knowledge.

Responsibilities

• Own the product strategy, vision, and roadmap for knowledge management and AI.
• Lead delivery of project spaces with your squad, and the wider current surface: the project memory system, the personalisation around it, and the tools researchers use to keep and reuse their work.
• Run rigorous customer discovery into how researchers actually manage and build on their knowledge, and turn it into product decisions you can defend.
• Use analytics and hypothesis-driven experimentation to make evidence the team's default way of deciding.
• Anticipate what the product roadmap will ask of the personal-knowledge layer and keep the strategy ahead of it.
• Partner with the team that owns document upload and storage on how LeapSpace surfaces and reasons over uploaded documents.
• Partner with the team that owns core retrieval on how the AI reasons across a researcher's knowledge and the wider corpus.
• Work with embedded data scientists to evaluate response accuracy, relevance, and trust, and turn them into prioritised improvements.

Requirements

• 8+ years of product management experience, with sustained tenure of at least three consecutive years at one employer.
• Demonstrated product judgment and strategic depth.
• Experience with AI/ML products, especially generative AI, RAG, or agentic workflows.
• Proven delivery leadership within a squad, keeping a backlog healthy, sequencing work well, and shipping steadily in an agile environment.
• Comfortable working with data science, reasoning about evaluation and AI behaviour, and turning experimental results into product decisions.
• A user of knowledge management tools yourself (e.g., Mendeley, Zotero, EndNote, Obsidian, Notion).
• Comfortable reasoning about architecture and technical trade-offs with a cross-disciplinary team, without writing production code.
• Strong customer-discovery instincts.

Skills

• Product Management
• AI/ML Products
• Generative AI
• RAG
• Agentic Workflows
• Knowledge Management
• Data Science Partnership
• Customer Discovery
• Agile Methodologies
• Product Strategy
• Roadmap Development
• Analytics
• Hypothesis-driven Experimentation
• Technical Reasoning

Location

• UK (London)
• Amsterdam

Work Type

• Remote-first
• Hybrid

Experience Level

• Senior

Salary/Compensations

• €100,400 - €167,300 (in NLD Amsterdam)

Benefits

• Generous holiday allowance with the option to buy additional days
• Health screening
• Eye care vouchers
• Private medical benefits
• Wellbeing programs
• Life assurance
• Competitive contributory pension scheme
• Long service awards
• Save As You Earn share option scheme
• Travel Season ticket loan
• Maternity, paternity and shared parental leave
• Access to emergency care for both the elderly and children
• RE CARES days
• Access to employee resource groups with dedicated time to volunteer
• Access to extensive learning and development resources
• Access to employee discounts via Perks at Work

About the Company

• A global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
• Combines quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.
• Work contributes to the world’s grand challenges and a more sustainable future.
• Harnesses innovative technologies to support science and healthcare to partner for a better world.

Equal Opportunity

• We are an equal opportunity employer with a commitment to help you succeed.
• We promote a diverse environment with co-workers who are passionate about what they do, and how they do it.
• Qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.