Personalization Product Lead

Faire•New York City, NY

5d•Hybrid

About The Position

Faire is hiring a product leader to own Personalization end-to-end, including recommendation and ranking systems that shape discovery across the retailer experience. The role begins with full ownership of the area and is expected to grow into a product lead role after the person builds context, makes the case for how the scope should split, and hires a second Personalization PM. The role combines technical product leadership and business impact. The product lead will partner closely with machine learning engineers and collaborate with data science, engineering, and product partners to align algorithm and engineering roadmaps. They will understand retailer needs, discovery behavior, and marketplace dynamics; identify opportunities through qualitative and quantitative research; and lead prioritization and execution across stakeholders. The person will be accountable for ambitious, high-visibility goals and serve as a product leader on ambiguous, high-stakes discovery algorithm problems. The position is hybrid. Faire employees currently work in the office three days per week—Tuesday, Thursday, and one flex day on Monday, Wednesday, or Friday—and may work remotely for up to four weeks per year. The role is based in San Francisco, California, with a stated annual base pay range of $220,000–$302,500 USD. It is also eligible for equity and benefits.

Requirements

At least 8 years of product management experience.
Experience owning a technical product area at senior individual-contributor or Staff level.
Direct experience shipping recommendation, ranking, or personalization systems.
Strong business judgment and a track record of making difficult prioritization decisions across multiple stakeholder teams to deliver ambitious goals.
Experience splitting execution responsibility with partner teams on shared goals, including defining ownership and aligning roadmaps.

Nice To Haves

Prior people-management experience.

Responsibilities

Own the Personalization roadmap and strategy end-to-end, covering recommendation and ranking systems across retailer discovery surfaces.
Develop a deep understanding of retailer needs, discovery behaviors, and marketplace dynamics, using qualitative and quantitative research to identify opportunities and frame actionable problems.
Partner directly with machine learning engineers on model and system tradeoffs and improvements.
Co-create roadmaps with data science, engineering, and product partners, sequencing algorithm and engineering work to deliver customer and business impact.
Prioritize among collaboration and impact opportunities brought to Personalization by other teams.
Be accountable for ambitious goals with visibility at the highest levels of the company.
Build credibility with senior leadership as an expert on Faire's business and the impact of its algorithms on customers and the business.
Serve as a go-to product leader for ambiguous, high-stakes problems in discovery algorithms.
Improve collaboration between product and data science teams, particularly as AI changes how they work together.
Build the case for splitting Personalization's scope, then help hire and onboard a second Personalization PM.