Product Manager, Search

Overview

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. The Community You Will Join: Our Product Managers imagine

What you'll do

• You'll partner closely with engineering, design, and data science teams to bring new AI-powered search capabilities from concept to guests.
• This is a high-visibility role building one of the most consequential surfaces in the guest experience, and will regularly interface with senior engineering and leadership stakeholders.
• A Typical Day: 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.

Requirements

• 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.
• Your Expertise: 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.

Skills