Senior ML Product Manager

Who you are

• You will bring deep ML domain expertise, consult closely with product teams, and collaborate on identifying and shaping high-impact AI-driven opportunities across attractions, flights, and ground transport
• This is a senior individual contributor role. You will be expected to operate with high autonomy, drive strategy and alignment at scale, and influence without direct people management
• 6+ years of product management experience working on complex, high-scale digital products
• Strong experience with Machine Learning, personalization, recommendation systems, and applied AI
• Proven ability to influence outcomes without direct ownership of delivery teams or P&L
• Strong technical understanding and systems thinking
• Experience partnering closely with engineering, data science, and business stakeholders
• Strong data literacy and experience making data-informed decisions
• Excellent communication, stakeholder management, and strategic storytelling skills
• Customer-focused mindset with a passion for solving real user problems

What the job involves

• This role is based in Manchester, UK. Our Trips marketplace spans attractions, flights, and ground transport, and we are investing heavily in Data & AI to unlock the next generation of customer and partner value across these verticals
• Data & AI powers many of Booking.com’s most impactful machine-learning capabilities. As a Senior Product Manager, you will play a critical role in expanding the impact of our Data & AI products across the Trips domain. You will define strategy and long-term vision for ML-powered capabilities that enable Trips product teams to move faster, make better decisions, and deliver step-change improvements in customer experience and marketplace performance
• You will act as the primary liaison between Data & AI and the Trips product organization, serving as a trusted partner to senior product and business leaders
• Defining the 1–3 year ML product vision, KPIs and strategy for Trips ML capabilities in collaboration with senior product managers in the Trips verticals
• Acting as the primary ML & AI partner to Trips product teams, ensuring ML capabilities are aligned with customer needs and business objectives
• Identifying, shaping, and prioritizing high-impact ML and AI opportunities across attractions, flights, and ground transport
• Providing ML domain expertise and advisory support to product and business leaders, including feasibility assessment and solution design
• Consulting and brainstorming with product teams to co-create ML-powered product improvements and new experiences
• Driving stakeholder alignment across Marketplace Data & AI, Trips, Engineering, Data Science, and Commercial teams
• Educating stakeholders on the capabilities, trade-offs, and responsible use of ML and AI
• Mentoring and coaching (Senior) Product Managers on ML strategy, problem framing, and ML-driven product thinking
• Analyzing outcomes, sharing learnings, and building a strong knowledge base to inform future product decisions

The application process

• The interview process will entail a total of 3 interviews, all conducted via Zoom video conferencing

Benefits

• Health insurance
• Free access to Headspace for you and your loved ones
• Global Employee Assistance Program
• Meditation and Breastfeeding rooms at the office
• Booking Cares - 2 days per year to volunteer and learn
• Life insurance
• Disability insurance
• Pension plan
• Annual paid time off
• Parental leave - 22 weeks
• Grandparent leave - 10 days
• Care leave - 10 days
• Bereavement leave - up to 4 weeks
• Anniversary leave
• Working from Home Furniture and Ergonomic Support
• Working from Abroad - up to 20 days per year
• Discounts & Wallet credits to spend on our products
• Upgrade to Booking.com Genius Level 3
• Friends & Family Booking.com discount vouchers
• Free access to online learning platforms
• Development and mentorship programs to support career growth
• Access to trainings and workshops
• Team development opportunities
• Local discount programs
• Game rooms in offices
• On-site meals, coffee and snacks including vegan options