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, including global financial institutions, corporate managed travel, offline travel agents, global travel suppliers such as 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.
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 and qualifications
* 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.
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
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