Product Manager - AI & Agentic Solutions

Details

At Booking.com, the CBO Office supports strategic and operational execution across the Chief Business Officer organisation, working across Business Operations, Change Management and Program Management to prioritise, plan and govern major initiatives, enable business change and improve cross-functional delivery.

The Product Manager will lead product discovery and strategy for an AI-powered, agentic delivery solution. The role involves working with stakeholders across Business Operations, Change Management and Program Management to identify common pain points, prioritise opportunities, and translate them into a product vision, roadmap and clear requirements.

The ambition is to evolve existing AI use cases into a coherent product ecosystem rather than a collection of disconnected solutions. This includes identifying reusable capabilities across workflows, progressively connecting them through agentic and multi-agent solutions, and determining which capabilities should be shared, craft-specific, delivered as one product, or delivered through a combination of shared and specialised products.

The contractor will work closely with the programme lead, domain experts, users and technical teams to create a scalable product that connects relevant enterprise knowledge and data and produces useful insights, recommendations, reports and reusable work products.

Responsibilities

Product Strategy

• Own and set the vision and strategy for a portfolio of products or a significantly complex product or feature.
• Monitor evolving customer and business needs and incorporate them into product strategy.
• Define a one-year strategy aligned with the Track strategy and create stakeholder alignment.
• Own and define objectives at Team and Track levels.
• Contribute to overall Track strategy and drive the strategic framing of key initiatives.
• Own go-to-market planning for the product.
• Represent the product and Track strategy and generate alignment across Track boundaries.

Product Delivery

• Manage long-term roadmaps with significant product, organisational and technical complexity.
• Identify risks and dependencies early and plan mitigations.
• Work with the team to establish delivery methodologies such as Scrum, Kanban, hours or points, and execute delivery plans.

Data Fluency

• Identify and explain primary, supporting and counter metrics.
• Understand experimentation hypotheses, sample size, p-values and test power.
• Analyse data, present findings to stakeholders and use results to make product decisions.
• Define effective KPI tracking approaches with analysts.
• Understand product data needs, partner with specialists when appropriate and independently analyse complex data.
• Work with ambiguous data and proxy metrics.
• Apply sophisticated analytical and experimentation techniques, such as non-inferiority testing.

Customer Insight

• Use interviews, surveys, story mapping, use-case design and other techniques to understand customer behaviour and needs.
• Analyse customer feedback from multiple sources and turn it into actionable hypotheses.
• Validate or invalidate new concepts and improve existing products.
• Blend surveys, field research, analytics and operational feedback to understand customer behaviour.
• Partner with researchers and designers to apply research and user-experience principles.
• Prioritise business problems and research topics based on business context, strategic needs and the type and scope of customer engagement required.
• Develop research briefs with research, data science and product marketing stakeholders.

Stakeholder Management

• Identify teams and stakeholders affected by projects.
• Gather requirements, integrate feedback and represent the team's work clearly and convincingly.
• Manage stakeholder expectations through timely, concise and clear progress updates adapted to different audiences and communication formats.
• Manage expectations up to Director level and occasionally the Leadership Team level.
• Handle challenging stakeholders independently.

Technical Collaboration

• Partner with the Engineering Manager or Tech Lead.
• Develop an active understanding of the technical aspects of the work.
• Represent customer and business needs in engineering trade-off decisions.
• Understand and explain critical technical solution elements and how the systems used to deliver the product interrelate.
• Anticipate technical problems and edge cases, maintain a high-quality user experience and ensure that technical feature development supports short- and long-term business needs.
• Build bridges between technical and non-technical stakeholders.

Community Impact

• Contribute to Product Manager communities beyond the immediate Track through training, knowledge sharing and Product craft working groups.
• Interview for Product Manager and Senior Product Manager roles.
• Mentor and coach more junior Product Managers.

Requirements

• Experience developing GenAI or agentic enterprise products from discovery through experimentation, validation and adoption.
• Ideally, experience with multi-agent solutions.
• Strong platform and product-system thinking.
• Technical understanding of AI capabilities, limitations, evaluation, guardrails and human oversight.
• Experience with Project and Program Management workflows, including planning, governance, risk management, reporting, knowledge management and stakeholder management, is highly valuable.
• Ability to work across business, product, programme and technical teams.
• Strong data analysis, experimentation, customer research, stakeholder management and technical collaboration skills.

Engagement Details

• Independent contractor engagement.
• Location: Amsterdam, Netherlands.
• Duration: 3 months, from October 1, 2026, to December 31, 2026.
• Hours: 40 hours per week.
• Pay rate: €60–€130 per hour.