Product Manager, Relevance and Personalization

Airbnb is seeking a Product Manager to join the Relevance & Personalization (R&P) team, the company's matching intelligence engine. The team connects guests to the right listings across every surface and helps hosts compete and thrive in the marketplace. The role involves setting strategy and driving execution for Airbnb's highest-leverage AI systems, owning the roadmap, and shaping personalization across the guest journey.

• Define and drive the roadmap for Airbnb's relevance and personalization platform, from natural language query understanding to multi-turn, context-aware discovery experiences.
• Make prioritization calls balancing guest experience, host success, revenue, fairness, and marketplace health.
• Partner with ML engineers and applied researchers to shape model strategy, evaluation frameworks, and experimentation design.
• Align cross-functional partners on shared goals and sequencing.
• Drive the Tripcycle vision, ensuring R&P's intelligence layer connects across the full trip lifecycle.
• Design and oversee A/B experiments with rigorous metric design and long-term effect measurement.
• Translate complex technical tradeoffs into clear decisions for engineering teams and concise narratives for leadership.
• Stay close to guests and hosts, synthesizing user research, marketplace data, and competitive signals.

• 10+ years of product management experience, with at least 3 years on ML, search, recommendations, or AI-powered products at scale.
• Track record of owning strategy and roadmap for technically complex systems.
• Strong experimentation fluency: designing A/B tests, interpreting counterfactual results, and reasoning about proxy metrics vs. long-term outcomes.
• Experience working on two-sided marketplaces or platforms balancing supply-side and demand-side tradeoffs.
• Ability to earn the respect of Staff and Principal-level engineers and researchers.
• Clear, structured communicator who can distill complex technical tradeoffs for executives.
• Experience with LLM-based products in production (preferred).
• Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks (preferred).
• Background working alongside applied researchers or with teams that publish externally (preferred).

Strong preference for the successful applicant to be based in San Francisco, CA. Currently, employees cannot be located in: Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware, and Rhode Island. This list is continuously updated.

Base pay range: $232,000—$282,000 USD. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

Apply via the official Airbnb careers page.