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About the Role

Own the strategy for knowledge management and AI at LeapSpace, an AI-assisted research workspace. This role combines strategy and delivery, focusing on how AI reasons over researcher knowledge and evolves towards goal-oriented research.

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 (new project workflows, collaboration, richer integrations) 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. Commission the evaluations, read the results, and turn them into prioritised improvements.

Requirements

• Strong cross-functional leadership with engineering, data science, and platform teams, and the ability to drive alignment across dependencies.
• Demonstrated product judgment and strategic depth. You can frame a problem space, defend a trade-off under questioning, and articulate the user outcome, not just the feature list.
• Experience with AI/ML products, especially generative AI, RAG, or agentic workflows.
• Proven delivery leadership within a squad: you keep a backlog healthy, sequence work well, and ship steadily in an agile environment.
• Comfort with ambiguity is essential; early-stage or startup product experience is highly desirable.
• Comfortable working with data science. You partner closely with data scientists, reason about evaluation and AI behaviour, and turn experimental results into product decisions.
• A user of knowledge management tools yourself: reference managers like Mendeley, Zotero, or EndNote, and research-organisation tools like Obsidian, Notion, or similar.
• Comfortable reasoning about architecture and technical trade-offs with a cross-disciplinary team, without writing production code.
• Strong customer-discovery instincts. You understand user pain points deeply and translate them into product decisions.

Skills

• AI/ML products
• generative AI
• RAG
• agentic workflows
• product management
• customer discovery
• analytics
• hypothesis-driven experimentation
• knowledge management tools
• reference managers
• research-organisation tools
• architecture
• technical trade-offs

Location

• UK (London)
• Amsterdam

Work Type

• Hybrid
• flexible hours

Experience Level

• 8+ years of product management experience
• Senior

Salary/Compensations

• €100,400 - €167,300 (for 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
• Access to a 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, giving you time to support the charities and causes that matter to you
• 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
• country specific benefits

About the Company

• A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society.
• Building on our publishing heritage, we combine 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.
• At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future.
• We harness 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.
• Here, you will find an inclusive, agile, collaborative, innovative and fun environment, where everyone has a part to play.
• Regardless of the team you join, 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.