Product Manager – Relevance and Personalization

🕒 May 8

🏄 California – Remote

🏄 California – Remote

💵 $232k - $282k / year

⏰ Full Time

🟠 Senior

🔴 Lead

✅ Product Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Airbnb

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2007

👥 B2C

🛍️ eCommerce

💰 Post-IPO Equity on 2020-12

B2C • eCommerce • Hospitality

Airbnb is a global online marketplace that connects people looking for accommodation with hosts offering unique and diverse lodging options, often in residential properties. Users can book spaces ranging from one-bedroom apartments to entire homes and boutique hotels. Airbnb also offers experiences, allowing guests to book activities hosted by locals, providing an authentic travel experience.

📋 Description

• 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

• 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

• Bonus • Equity • Employee Travel Credits