Senior ML Product Manager - Trips Data and AI

Booking Holdings, Inc.; Manchester; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Global impact

Hybrid working

Stock options

Bonuses

Learning opportunities

Campus in Manchester

Job summary

Booking.com in Manchester is seeking a Senior Product Manager to lead ML-powered initiatives across Trips, including attractions, flights, and ground transport. You will define strategy and a long-term vision for AI capabilities that help product teams move faster and improve customer experience.

You will partner with Data & AI, engineering, and business leaders, bringing deep ML expertise to identify high-impact opportunities and shape data-informed decisions.

Qualifications

• 6+ years of product management experience on complex, high-scale digital products.
• Strong experience with ML, 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 and stakeholder management with strategic storytelling.
• Customer-focused mindset solving real user problems.

Responsibilities

• Define 1–3 year ML product vision, KPIs and strategy for Trips ML capabilities.
• Act as the primary ML & AI partner to Trips product teams, ensuring ML capabilities align with customer needs and business objectives.
• Identify, shape, and prioritize high-impact ML and AI opportunities across attractions, flights, and ground transport.
• Provide ML domain expertise and advisory support to leadership, including feasibility assessment and solution design.
• Consult and brainstorm with product teams to co-create ML-powered product improvements and new experiences.
• Drive stakeholder alignment across Data & AI, Trips, Engineering, Data Science, and Commercial teams.
• Educate stakeholders on the capabilities, trade-offs, and responsible use of ML and AI.
• Mentor and coach Senior Product Managers on ML strategy, problem framing, and ML-driven product thinking.
• Analyze outcomes, share learnings, and build a knowledge base to inform decisions.

Skills

Machine Learning

Personalization

Recommendation systems

Applied AI

Data literacy

Stakeholder management

Strategic storytelling

Communication

Job description

About us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, models, or experiments. We’re the thrill of discovering a hidden attraction. The ease of catching the right flight. The confidence of seamless ground transport. Through our products, partners, and people, we empower everyone to experience the world.

Role Description

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. 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.

Key Job Responsibilities and Duties:

• 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.

Qualifications & skills:

• 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.

Benefits & Perks - Global Impact, Personal Relevance:

• Opportunity to shape the ML strategy for Trips at global scale, impacting millions of travelers.
• A high-impact principal IC role with visibility, autonomy, and strategic influence.
• Competitive compensation, bonuses, and stock potential.
• Flexible hybrid working, generous leave, and world-class learning opportunities.
• A beautiful sustainable Campus in Manchester, that offers on-site meals, coffee, and snacks, multi-faith and breastfeeding rooms at the office
• 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

DEI: Diversity, Equity and Inclusion at Booking.com

Diversity, Equity and Inclusion (DEI) have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: “At Booking.com, the diversity of our people doesn’t just create a unique workplace, it also creates a better and more inclusive travel experience for everyone.”

We will ensure that individuals with disabilities are provided reasonable adjustments to participate in the interview process. Please contact us to request adjustments.

Application Process

• The interview process will entail a total of 3 interviews, all conducted via Zoom video conferencing.
• This role does not come with relocation assistance.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

Pre-Employment Screening

If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.