Product Manager, Relevance and Personalization

Airbnb•San Francisco, CA

1d•Onsite

About The Position

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Relevance & Personalization (R&P) team is Airbnb's matching intelligence engine — a talented team of ML engineers, applied researchers, and technical program managers who connect guests to the right listings across every surface and help hosts compete and thrive in our marketplace. We work at the intersection of search ranking, recommendations, personalization, and generative AI, and we're building toward a future where Airbnb feels less like a search engine and more like a knowledgeable travel companion that understands your needs across your entire trip journey.

Requirements

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 — not just managing features, but setting direction and making hard prioritization calls
Strong experimentation fluency: comfortable designing A/B tests, interpreting counterfactual results, and reasoning about proxy metrics vs. long-term outcomes
Experience working on two-sided marketplaces or platforms where you balanced supply-side and demand-side tradeoffs
Ability to earn the respect of Staff and Principal-level engineers and researchers — you don't need to write code, but you need to engage at a level that builds credibility
Clear, structured communicator who can distill complex technical tradeoffs for executives and translate strategic intent into actionable guidance for engineers

Nice To Haves

Experience with LLM-based products in production — ideally involving evaluation challenges, latency constraints, or safety and guardrail work (preferred)
Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks in a product context (preferred)
Background working alongside applied researchers or with teams that publish externally (preferred)

Responsibilities

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 that balance multiple competing objectives: 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 — Guest, Host, MarTech, Trust & Safety, Customer Support — on shared goals and sequencing
Drive the Tripcycle vision: ensuring R&P's intelligence layer connects 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 an environment where engineers and product managers collaborate on building the future
Stay close to guests and hosts: synthesize user research, marketplace data, and competitive signals to sharpen your intuition and refine strategy