Senior Product Manager - Recommendations ; RecApp

Role Description

The Recommendations Applications (Rec App) team is responsible for building recommendation products and capabilities that power personalized recommendations across  products, including Destinations, Accommodations, Flights, Attractions, Rides, and more. The team sits at the intersection of machine learning, data science, experimentation, and product strategy. Its mission is to make recommendations a core product capability across , helping travelers discover the most relevant next option, next action, or next part of their journey across multiple surfaces and verticals.

As a Senior Product Manager in this team, you will define the strategy, long‑term vision, and success criteria for recommendation applications across

• Own and lead the Rec App team’s vision, mission, roadmap, and end‑to‑end execution across recommendation products and capabilities used by multiple  verticals.
• Shape and evolve a multi‑year product strategy for recommendation applications, aligned with company priorities, vertical strategies, and Connected Trip mission goals.
• Define and own success metrics for recommendation quality and product impact, such as engagement, conversion, attach, relevance, repeat usage, coverage, latency, and system health.
• Drive large‑scale experimentation in partnership with data science and analytics, using robust evidence to improve recommendation logic, models, policies, and surfaces.
• Translate fragmented requirements from multiple stakeholders across Destinations, Accommodations, Flights, Attractions, Rides, and other product areas into a coherent and prioritized roadmap.
• Balance short‑term wins with long‑term platform and capability investments, managing dependencies across teams, verticals, and mission‑led initiatives.
• Collaborate closely on ML product decisions, including problem framing, signal and feature strategy, evaluation methods, rollout guardrails, and optimization loops.
• Ensure the recommendation ecosystem is robust, scalable, and reusable, working with engineering on reliability, observability, maintainability, and technical debt where it matters most.
• Build and maintain strong cross‑functional partnerships with vertical product teams, Connected Trip mission teams, Marketplace AI & Data partners, and other stakeholders to drive shared outcomes.
• Communicate clearly and frequently to stakeholders and senior leadership, turning complex recommendation and ML topics into simple narratives, trade‑offs, and decisions.
• Bring structure and organization to a complex, cross‑company problem space, introducing lightweight but effective processes, documentation, and rituals that keep teams aligned.

• At least 7 years of product management experience, owning products or platforms with significant scale and technical complexity.
• Proven experience working on ML-powered products, ideally in recommendation, ranking, search, ads, personalization, or related problem spaces within e‑commerce, marketplaces, or similarly high‑traffic environments.
• Strong background in data science, analytics, and experimentation, including defining hypotheses, choosing success metrics, working with large datasets, and interpreting A/B test and offline evaluation results.
• Track record of driving multi‑year roadmaps for complex systems while balancing experimentation, delivery, and long‑term system health.
• Experience collaborating closely with ML engineers and data scientists, with the ability to hold your own in discussions about models, signals, trade‑offs, and evaluation approaches.
• Solid understanding of recommendation system fundamentals, such as objective design, retrieval and ranking trade‑offs, online vs. offline evaluation, exploration vs. exploitation, and fairness or constraint handling.
• Strong systems thinking and abstraction skills, able to turn multiple use cases and stakeholder asks into clear, reusable recommendation capabilities and product patterns.
• Excellent communication and stakeholder management skills, including aligning diverse teams, handling conflicting priorities, and building buy‑in up to senior leadership level.
• Demonstrated…