Product Manager, Relevance and Personalization

Airbnb Airbnb · Consumer · San Francisco, CA · Product Management

Product Manager for Airbnb's Relevance and Personalization team, focusing on AI systems that connect guests to listings and personalize the travel experience. The role involves setting strategy, driving roadmap execution, and partnering with ML engineers and researchers to ship products at global scale.

What you'd actually do

  1. Define and drive the roadmap for Airbnb's relevance and personalization platform — from natural language query understanding to multi-turn, context-aware discovery experiences
  2. Make prioritization calls that balance multiple competing objectives: guest experience, host success, revenue, fairness, and marketplace health
  3. Partner with ML engineers and applied researchers to shape model strategy, evaluation frameworks, and experimentation design
  4. Align cross-functional partners — Guest, Host, MarTech, Trust & Safety, Customer Support — on shared goals and sequencing
  5. Drive the Tripcycle vision: ensuring R&P's intelligence layer connects across the full trip lifecycle, from inspiration through post-trip

Skills

Required

  • 10+ years of product management experience
  • Experience with ML, search, recommendations, or AI-powered products at scale
  • Experience owning strategy and roadmap for technically complex systems
  • Strong experimentation fluency
  • Experience working on two-sided marketplaces or platforms
  • Ability to earn the respect of Staff and Principal-level engineers and researchers
  • Clear, structured communicator

Nice to have

  • Experience with LLM-based products in production
  • Familiarity with reinforcement learning, contextual bandits, or explore/exploit frameworks
  • Background working alongside applied researchers or with teams that publish externally

What the JD emphasized

  • 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
  • Experience working on two-sided marketplaces or platforms where you balanced supply-side and demand-side tradeoffs
  • Experience with LLM-based products in production — ideally involving evaluation challenges, latency constraints, or safety and guardrail work (preferred)

Other signals

  • connect guests to the right listings
  • shape how personalization works across the guest journey
  • ship systems that directly drive bookings, guest satisfaction, and host success