Product Manager, Search

Join Airbnb as a Product Manager to lead the vision for search capabilities, enhancing guest experiences through innovative AI solutions. 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.

• •Define and drive the long-term vision and roadmap for the future of search on Airbnb, including next-generation AI capabilities like natural language and conversational search, query understanding, and intelligent ranking.
• •Own how guests search on Airbnb end to end — from the moment they express intent to the moment they find the right option.
• •Partner closely with engineering, applied ML, and data science teams to design, prototype, and ship AI-powered search experiences.
• •Use quantitative analysis and experimentation (A/B testing) to validate that new search capabilities improve relevance, conversion, and guest satisfaction.
• •Translate ambiguous guest problems into clear product requirements, prioritized against business impact and technical feasibility.
• •Collaborate with design and research to understand how guests search, filter, and decide today — and where AI can remove friction.
• •Work cross-functionally with Host-side and Trust teams to ensure smarter search continues to surface the right inventory fairly and accurately.
• •Communicate roadmap, results, and trade-offs clearly to engineering partners and leadership.

• •Base pay range: $232,000 — $282,000 USD.
• •This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

• •10+ years of consumer product management experience, with a track record of owning a product area end to end.
• •Experience working on search, discovery, ranking, or recommendation systems is strongly preferred.
• •Genuine excitement about applying modern AI and ML capabilities (LLMs, semantic search, conversational interfaces) to consumer product problems.
• •Strong business acumen and ability to use data, research, and experimentation to drive product strategy and decisions.
• •Demonstrated ability to work closely with ML/data science teams and understand the trade-offs of model-driven products.
• •Excellent problem-solving, communication, and collaboration skills across engineering, design, data science, and other cross-functional teams.
• •A user-centered mindset — you dig into how guests actually search and where they get stuck, not just metrics dashboards.