Senior ML Product Manager – Trips Data and AI

Overview

In this senior IC role, you define the 1–3 year ML product vision for Booking.com’s Trips ML capabilities and partner with product teams to accelerate delivery. You translate data-driven insights into AI-enabled experiences across attractions, flights, and ground transport. You work across Data & AI, engineering, and business leads to shape high-impact opportunities and ensure responsible, scalable ML solutions that improve customer experience and marketplace performance. You drive strategy with autonomy and influence.

Pay / Benefits

• Global Impact, Personal Relevance
• Competitive compensation, bonuses, and stock potential
• Flexible hybrid working
• On-site campus in Manchester with meals and amenities
• Genius discounts and family vouchers
• Headspace membership and learning opportunities

Responsibilities

• Define 1–3 year ML product vision, KPIs, and strategy for Trips capabilities in collaboration with senior PMs
• Serve as the primary ML & AI partner to Trips product teams, aligning capabilities with customer needs and business goals
• Identify, shape, and prioritize high-impact ML/AI opportunities across attractions, flights, and ground transport
• Provide ML domain expertise and advisory support, including feasibility and solution design
• Collaborate with product teams to co-create ML-powered improvements and new experiences
• Drive stakeholder alignment across Marketplace Data & AI, Trips, Engineering, Data Science, and Commercial
• Educate stakeholders on ML capabilities, trade-offs, and responsible use
• Mentor and coach (Senior) Product Managers on ML strategy and product thinking
• Analyze outcomes, share learnings, and build knowledge to inform future decisions

Key requirements

• 6+ years of product management experience on complex, high-scale digital products
• Strong experience with Machine Learning, personalization, recommendation systems, and applied AI
• Ability to influence outcomes without direct ownership of delivery teams or P&L
• Strong technical understanding and systems thinking
• Experience partnering with engineering, data science, and business stakeholders
• Strong data literacy and data-informed decision making
• Excellent communication, stakeholder management, and strategic storytelling
• Customer-focused mindset with passion for solving real user problems

• communication
• stakeholder management
• strategic storytelling
• Machine Learning
• personalization
• recommendation systems

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