Product Manager, Relevance and Personalization

Details

The Relevance & Personalization team is Airbnb's matching intelligence engine, working at the intersection of search ranking, recommendations, personalization, and generative AI. The team builds systems that connect guests to the right listings across every surface and help hosts compete and thrive in the marketplace.

As Product Manager for Relevance & Personalization, you will set strategy and drive execution for AI systems, own the roadmap for personalization across the guest journey, and help define how Airbnb closes the feedback loop for hosts. You will partner with engineers, researchers, designers, and cross-functional teams to ship systems that drive bookings, guest satisfaction, and host success at global scale.

Responsibilities

• Define and drive the roadmap for Airbnb's relevance and personalization platform, including natural language query understanding and multi-turn, context-aware discovery experiences.
• Make prioritization decisions 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 Guest, Host, MarTech, Trust & Safety, and Customer Support partners on shared goals and sequencing.
• Drive the Tripcycle vision by connecting the relevance and personalization intelligence layer across the full trip lifecycle, from inspiration through post-trip.
• 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.
• Foster collaboration between engineers and product managers.
• Synthesize user research, marketplace data, and competitive signals to refine product strategy.

Requirements

• 10+ years of product management experience, including at least 3 years working on ML, search, recommendations, or AI-powered products at scale.
• Track record of owning strategy and roadmaps for technically complex systems and making difficult prioritization decisions.
• Strong experimentation fluency, including designing A/B tests, interpreting counterfactual results, and reasoning about proxy metrics versus long-term outcomes.
• Experience working on two-sided marketplaces or platforms and balancing supply-side and demand-side tradeoffs.
• Ability to work credibly with Staff- and Principal-level engineers and researchers without needing to write code.
• Clear, structured communication skills, including translating complex technical tradeoffs for executives and strategic intent into actionable guidance for engineers.
• Experience with LLM-based products in production, ideally involving evaluation challenges, latency constraints, or safety and guardrail work.
• Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks in a product context.
• Experience working alongside applied researchers or with teams that publish externally.

Location

The successful applicant must be based in San Francisco, California. Employees currently cannot be located in Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware, or Rhode Island. This list is subject to change.

Benefits

The role may be eligible for bonus, equity, benefits, and Employee Travel Credits. Airbnb is committed to an inclusive and accessible application and interview process.

Compensation

The base pay range is $232,000–$282,000 USD.