Senior Technical Product Manager - Recommendations & Relevance

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

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 Sr 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/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.

At Expedia Group B2B, we know that exceptional talent comes from diverse backgrounds. Even if you do not meet every single qualification listed, if your experience strongly aligns with our mission, we highly encourage you to apply.

• 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.

• 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, with a proven track record of delivering complex technical products or initiatives.

• Strong understanding of applied machine learning concepts (for example, supervised learning, ranking, recommendation, relevance), data ecosystems (such as data lakes, batch and streaming data processing), and 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, balancing near-term impact with longer-term platform and capability investments.

• Excellent communication, collaboration, and stakeholder management skills, with the ability to bridge technical and non-technical audiences, lead cross-functional initiatives, and manage multiple projects simultaneously in a fast-paced environment.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.