faire

Staff Product Manager, AI Discovery

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At a Glance

Location
United States
Experience
8+ years
Posted
2026-02-17T14:54:58-05:00

Requirements

8+ years of product management experience, with ownership of complex consumer or marketplace experiences. Experience with AI or search experiences is helpful but not required.

Proven

zero‑to‑one

experience building new, user‑facing products or capabilities from early concept through launch and iteration.

Deep customer centricity and empathy, with a track record of uncovering user pain points and translating them into high‑impact product decisions.

Strong bias for action and execution, with demonstrated success driving clarity, alignment, and measurable outcomes through build‑learn‑iterate cycles.

Compensation & Benefits

San Francisco, CA: The pay range for this role is $215,500 - 296,500 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

We are entrepreneurs:

Responsibilities

As

AI Discovery PM

you will lead the evolution of discovery on Faire — translating emerging AI and algorithmic capabilities into intuitive, high‑impact experiences that help retailers go from vague ideas and intent into confident purchases on Faire.

This role sits at the intersection of AI innovation and core business impact. You’ll shape both AI‑first discovery experiences and the evolution of Faire’s search, working closely with design, engineering, and data science to turn strategy into shipped, measurable outcomes.

This role spans two complementary but distinct areas of ownership: