Staff Product Manager, AI, Data & ML Platform

8+ years of product management experience, with ownership of complex technical products at Staff or Lead scope.

Technical fluency across data, ML, and AI platforms: you have worked directly with data and ML/AI systems, can engage credibly with engineering on architecture tradeoffs, understand modern ML/AI in production (model training and deployment, LLMs, retrieval patterns, evaluation), and translate technical complexity into clear strategic choices.

Experience shipping platform products for internal technical users, including discovery, success metrics, adoption, and operational discipline.

Experience shipping in a marketplace or other data-rich product context where the product depends on data feeding algorithmic choices such as search, recommendations, or personalization.

You understand how upstream data and AI decisions translate into conversion, relevance, and retention.

Cross-functional influence and strategic prioritization: credibility with senior engineers and data scientists, the ability to negotiate without positional authority, ruthless sequencing, and clarity about what the team is choosing not to do.

San Francisco, CA and New York City, NY: The pay range for this role is $220,000 - $302,500 per year.

This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors, including transferable skills, work experience, market demand, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday).

Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.

Why you’ll love working at Faire

Move fast:

We're looking for a Product Lead to treat Faire's data and AI platforms as products: define clear user needs, measurable outcomes, and a roadmap that accelerates every team building on these foundations.

You will make data trustworthy by default and make AI capabilities easy to adopt safely on top of it.

When the data Faire runs on is high-quality and easy to use, every team that depends on it makes better decisions and ships better products.

ML powers Faire's marketplace, from search and recommendations to personalization.

Shared data sits underneath nearly every product decision we make.

This role sits at that foundation: you will run structured discovery with the engineers and scientists who build on these platforms, prioritize the investments that unblock them, and hold the bar on quality, safety, and adoption.