Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
A/B Testing
AI @ 4
Communication @ 6
Data Science @ 4
Experimentation @ 7
LLM
Machine Learning @ 4
Product Management @ 8
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
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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