Senior Technical Product Manager – Recommendations & Relevance

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 (e.g., supervised learning, ranking, recommendation, relevance), data ecosystems (such as data lakes, batch and streaming 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

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

Equal Opportunity

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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