Senior Product Manager - Experimentation science

At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you make. The journeys you take. The sights you see. And the food you sample. Through our products, partners and people, we make it easier for everyone to experience the world.

Role description

• This role is based in Amsterdam
• At Booking.com we are proud of the way we use data and experimentation to drive better product decisions. Over the last 20 years, we have continuously invested in building the best possible experimentation platform to enable our colleagues throughout the company to make the best possible decisions for our customers, partners and our business.

• Own the Metrics Ecosystem Strategy: Develop and champion a long-term product vision and roadmap for the experimentation metrics platform, ensuring it meets the company's evolving needs for scale and statistical rigor.
• Lead Governance & Best Practices: Define and drive the adoption of a unified framework for the entire metric lifecycle, from creation and metadata management to deprecation, ensuring trust and consistency across the organization.
• Guide Experimenters: Provide recommendations to experimenters on selecting appropriate, high-quality metrics that ensure meaningful and trustworthy results.
• Harm Protection Governance: Define and enforce governance practices that safeguard against harmful or misleading metric use in experimentation.
• Develop Enabling Tools: Guide the development of self-service tools, APIs, and infrastructure that empower product teams to create, manage, and analyze their own metrics with confidence and ease.
• Drive Technical Excellence: Partner with engineering and data science to design and deliver robust, scalable data pipelines and systems that form the backbone of our experimentation results.
• Ensure Statistical Integrity: Be the product authority on statistical methods, ensuring results are accurate, reproducible, and easy to interpret.
• Champion Data Accessibility: Ensure metric data and experiment results are accessible, actionable, and integrated into downstream workflows.
• Deliver Critical Projects: Navigate complexity and ambiguity to deliver business-critical platform improvements that enhance the reliability and extensibility of our experimentation capabilities.

• Experience: Proven track record (6+ years) in Product Management, with experience working on complex platforms pr data products (e.g., Experimentation, Machine learning platforms).
• Experimentation Fluency: Deep understanding of experimentation frameworks and statistical methods with the ability to define, align, and drive adoption of company-wide best practices.
• Statistical Methods: Understanding of advanced experimentation methodologies (e.g., sequential testing, quantile testing, ratio metrics, heterogeneous treatment effects) and ability to partner with data scientists to integrate these into scalable tools.
• Experimenter Enablement: Experience working directly with product teams and experimenters to guide metric selection, communicate governance policies, and ensure trust in experimentation outcomes.
• Quantitative and Analytical Skills: Strong quantitative and analytical skills with the ability to translate complex statistical and data concepts into clear product requirements and actionable insights.
• Communication & Stakeholder Skills: Proven ability to engage, align, and influence stakeholders at all levels and disciplines, from experimenters to C-level, communicating complex data and technical concepts in a clear and actionable way.
• Technical Fluency: Comfortable working with engineering teams on APIs, data pipelines, and scalable computation systems, with the ability to balance technical constraints with business needs.
• Product Strategy: Skilled in defining product vision and strategy, setting objectives, and driving alignment across multiple teams and stakeholders.
• Delivery Excellence: Demonstrated ability to manage roadmaps, prioritize complex dependencies, and deliver high-quality products that scale.
• Leadership: Ability to work independently, shape long-term product direction, and coach or mentor other PMs when needed.
• Data Science Background: Prior hands-on experience in data science or statistics roles is preferred.
• Industry Collaboration & Thought Leadership: Experience engaging with the wider industry through publishing articles, sharing best practices, or bringing industry experts together is preferred.

• Annual paid time off and generous paid leave scheme including: parental (22-weeks paid leave), grandparent, bereavement, and care leave
• Hybrid working including flexible working arrangements, working from home furniture and ergonomic support, and up to 20 days per year working from abroad (home country)
• A beautiful sustainable HQ Campus in Amsterdam, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office
• Commuting allowance and bike reimbursement scheme
• Discounts & Wallet credits to spend on our products, upgrade to Booking.com Genius Level 3, and friends & family Booking.com discount vouchers
• Free access to online learning platforms, development and mentorship programs
• Global Employee Assistance Program, free Headspace membership

• The interview process will entail a total of 4 interviews, all conducted via Zoom video calls.
• This role does not come with relocation assistance.