Location
London, City of

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors - Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together - foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

Expedia Group B2B is the Business-to-Business arm of Expedia Group. We bring Expedia Group's innovative technology and distribution solutions to partners across the world. These businesses include global financial institutions, corporate managed travel, offline travel agents, global travel suppliers (like major airlines) and many more. As a global leader in travel technology, Expedia Group B2B powers thousands of partners across diverse markets and travel segments.

We are seeking an exceptional Senior Technical Product Manager to join Expedia Group B2B. This role will partner with the Director, Machine Learning Science - Recommendations & Relevance to build cutting-edge Machine Learning and AI solutions that enhance our partners' user experiences and optimise their product offerings. You will focus on delivery management and on translating business requirements into clear problem statements and technical requirements for applied ML algorithms in the recommendations and relevance space.

The ideal candidate combines strong product and program management skills with a deep understanding of machine learning science to drive substantial value for Expedia Group B2B and our partners across multiple domains.

In this role, you will:
- Partner with the Director, Machine Learning Science - Recommendations & Relevance, and cross-functional leadership to define and execute the applied science roadmap that improves recommendation quality, traveller engagement, and partner outcomes across all B2B products.
- Own planning and delivery for key initiatives, from problem framing and opportunity sizing through data discovery, feature and signal definition, experiment design, model development, online testing, and rollout.
- Translate partner and product needs into clear requirements, success metrics, and prioritised backlogs for the Recommendations & Relevance Machine Learning Science team, ensuring strong alignment with Product Management, Engineering, and Analytics.
- Drive program execution and transparency across multiple teams, managing timelines, dependencies, and risks, and communicating plans, progress, and results to senior stakeholders in a clear and compelling way.
- Champion operational excellence in the science lifecycle by promoting best practices in experimentation, offline and online evaluation, documentation, and post-launch learning to continuously raise the bar on scientific rigor and impact.

Experience
- Bachelor's or master's degree in computer science, engineering, statistics, mathematics or a related quantitative field, or equivalent practical experience.
- 5+ years of experience in technical product management or technical program management in machine learning, data-intensive, or large-scale platform domains.
- Proven track record of delivering complex technical products or initiatives.
- Strong understanding of applied machine learning concepts such as supervised learning, ranking, recommendation, and relevance.
- Familiarity with data ecosystems including data lakes, batch and streaming data processing.
- Knowledge of how models are trained, evaluated, deployed, and monitored in production environments.
- Demonstrated ability to translate ambiguous business problems into structured scientific problem statements, measurable success metrics, and clear technical roadmaps and requirements.
- Excellent communication, collaboration, and stakeholder management skills.
- Ability to bridge technical and non-technical audiences, lead cross-functional initiatives, and manage multiple projects simultaneously in a fast-paced environment.

About you
Enthusiastic about driving innovation in machine learning and product management, with a passion for delivering impactful solutions that enhance user experience and business outcomes. You thrive in collaborative environments and are comfortable managing complex programs with multiple stakeholders.

Qualifications
Bachelor's or master's degree in a relevant quantitative field or equivalent practical experience is required. Strong technical background combined with product and program management expertise is essential.