Product Manager – Relevance and Personalization

Airbnb

Product Manager managing personalization and relevance for Airbnb's AI systems. Driving strategy and execution for enhancing guest experiences and host success.

Posted 5/8/2026full-timeRemote • California • 🇺🇸 United StatesSeniorLead💰 $232,000 - $282,000 per yearWebsite

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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
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)

Benefits

Comp & perks

Bonus
Equity
Employee Travel Credits

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

product managementmachine learningA/B testingnatural language processingrecommendation systemsevaluation frameworksreinforcement learningcontextual banditsexplore/exploit frameworksAI-powered products

Soft Skills

prioritizationcross-functional collaborationclear communicationstrategic thinkinguser research synthesiscredibility buildingstructured communicationdecision-makingteam collaborationintuitive strategy refinement