Product Manager, Search

at Airbnb
USD 232,000-282,000 per year
SENIOR
✅ On-site

Tech Stack

A/B Testing AI @ 4 Communication @ 6 Data Science @ 4 Experimentation @ 7 LLM Machine Learning @ 4 Product Management @ 8

Details

Airbnb is seeking a product manager to reimagine how guests search on Airbnb. The role owns the vision and roadmap for the future of search, including query understanding, filtering, ranking, natural-language search, conversational interfaces, personalization, and other AI-powered capabilities. The product manager will work closely with engineering, applied machine learning, data science, design, research, Host-side, and Trust teams to improve search relevance, conversion, fairness, accuracy, and guest satisfaction.

Responsibilities

  • Define and drive the long-term vision and roadmap for the future of search on Airbnb, including natural-language and conversational search, query understanding, and intelligent ranking.
  • Own the end-to-end guest search experience, from expressing intent to finding the right option.
  • Partner with engineering, applied machine learning, and data science teams to design, prototype, and ship AI-powered search experiences.
  • Use quantitative analysis and experimentation, including A/B testing, to validate improvements to relevance, conversion, and guest satisfaction.
  • Translate ambiguous guest problems into clear product requirements prioritized by business impact and technical feasibility.
  • Collaborate with design and research teams to understand how guests search, filter, and make decisions, and identify opportunities for AI to reduce friction.
  • Work cross-functionally with Host-side and Trust teams to ensure smarter search surfaces inventory fairly and accurately.
  • Communicate roadmap, results, and trade-offs clearly to engineering partners and leadership.

Requirements

  • 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 machine learning capabilities, including large language models, semantic search, and conversational interfaces, to consumer product problems.
  • Strong business acumen and the ability to use data, research, and experimentation to drive product strategy and decisions.
  • Demonstrated ability to work closely with machine learning and 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.
  • User-centered mindset, with a focus on understanding how guests search and where they encounter friction.
  • Strong preference for the successful applicant to be based in San Francisco, California.

Compensation

  • Base pay range: $232,000–$282,000 USD per year.
  • The role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.
  • Employees cannot currently be located in Alaska, Indiana, Nebraska, North Dakota, Ohio, South Dakota, Wisconsin, Alabama, Mississippi, Oklahoma, Delaware, or Rhode Island.

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