Airbnb
Staff
Own the full-stack personalization platform that makes Airbnb's AI support feel human
Airbnb is hiring a Staff Product Manager to lead product strategy for AI Personalization across its Community Support platform — from retrieval systems and prompt design to the consumer-facing AI experience. The role demands technical fluency with RAG and context engineering, ownership of experimentation and KPIs like self-solve rate and citation accuracy, and cross-functional leadership across ML, engineering, design, and data science.
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What this interview tests
- Platform product strategy for AI/ML systems consumed by multiple downstream surfaces
- Technical fluency in RAG, contextual retrieval, and prompt/context engineering tradeoffs
- Experiment design and KPI definition for AI systems (self-solve rate, coverage, citation accuracy)
- Judgment on where AI automation should defer to human judgment
- Cross-functional leadership across ML, engineering, design, data science, and policy
- Translating ambiguous personalization signals into a prioritized product roadmap
Common question themes
How would you diagnose and fix an AI support response that fails to feel personalized to the user
Design an experiment to test whether a new personalization signal actually improves self-solve rate
Tell me about a platform product you built that multiple teams shipped downstream experiences on top of
How do you decide when AI should hand off to a human agent, and how do you operationalize that decision
Walk me through aligning ML, design, and data science around a shared multi-year roadmap when priorities conflicted
How do you engage credibly with ML engineers on retrieval architecture or prompt design tradeoffs
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