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Personalization Product Lead

Lead the Personalization product area at Faire, focusing on recommendation systems and improving retailer experiences.

Location
New York City, NY; San Francisco, CA
Compensation
$220k–$302.5k/yr
Level
lead
Type
full time · Hybrid

Posted by employer 1 day ago

First seen on Joblaze 1 day ago

Last verified on the company career page 1 day ago

Skills & Technologies

What you'll build

  • Own Personalization's roadmap and strategy
  • Build understanding of retailer needs and marketplace dynamics
  • Partner with ML engineers on model tradeoffs
  • Co-create roadmaps with data science and engineering
  • Be accountable for ambitious goals

Must have

  • 8+ years of product management experience
  • Direct experience shipping recommendation systems

Nice to have

  • Prior people-management experience

Practical constraints

  • Hybrid employees go into the office 3 days per week

AI in the day-to-day

We're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs.

Requirements

Experience
8+ years

Not disclosed in this posting: visa sponsorship.

Benefits

Equity/Stock Options Remote Work

Joblaze summary

The Personalization Product Lead at Faire is responsible for managing the end-to-end strategy and roadmap for the company's recommendation and ranking systems, which enhance product discovery for retailers. This role requires a strong technical background in personalization systems, along with the ability to collaborate closely with machine learning engineers and other product teams. Ideal candidates will have over eight years of product management experience, particularly in technical domains, and a proven track record of prioritizing across multiple stakeholders. As the team grows, this position will evolve to include leadership responsibilities, making it suitable for someone looking to a

Joblaze insights

  • Listed yesterday — first seen on Joblaze October 17, 2026. Last confirmed on Faire's careers page October 17, 2026.
  • Salary band is above the typical range for Product roles (median ~$183,000).
  • Starts above 47% of 17 comparable lead product roles in United States that list AI/ML we track (median $220,000 across 14 companies). See AI/ML salary trends
  • AI/ML appears in 45.5% of 77 comparable lead product roles in United States; Machine Learning appears in 2.6% of 77 comparable lead product roles in United States.

Quick facts

Is the Personalization Product Lead role remote?
It's hybrid — Faire expects some on-site time in New York City, NY; San Francisco, CA.
What's the salary range?
Faire lists $220,000–$302,500 for this role.
How much experience is required?
At least 8 years of relevant experience for this Personalization Product Lead role.
Where is the role based?
Faire is hiring for this position in New York City, NY; San Francisco, CA.
What's the tech stack?
Joblaze extracted these technologies from the posting: AI/ML, Machine Learning.
What seniority level is this role?
Faire targets lead candidates for this position.
Is this full-time or contract?
Full-time for this Personalization Product Lead role at Faire.

From the original posting

About Faire

About this role

Personalization is one of the highest-leverage product areas at Faire: the recommendation systems and ranking models that decide what every retailer sees across our home page, brand catalogs, and more. We're looking for a Product Manager to own this space end-to-end — someone who can go deep on the technical tradeoffs behind our recommendation systems, work shoulder-to-shoulder with ML engineers, and turn that into a roadmap that improves experiences for retailers and moves the business.

This role starts as full ownership of Personalization, then grows. Once you've built context and made the case for how the scope should split, you'll hire a second Personalization PM and grow into the product lead role for this area.

What you'll do

  • Own Personalization's roadmap and strategy end-to-end — the recommendation and ranking systems that power discovery across every surface retailers use.
  • Build a deep understanding of retailer needs, discovery behaviors, and marketplace dynamics, and use qualitative and quantitative research to surface high-impact opportunities and frame problem statements the team can act on.
  • Partner directly with ML engineers on model and system tradeoffs and improvements.
  • Co-create roadmaps with data science, engineering, and other product partners so algo work and engineering work are sequenced together to deliver customer and business impact.
  • Prioritize across the many collaboration and impact opportunities other teams bring to Personalization.
  • Be directly accountable for ambitious goals that get visibility at the highest levels of the company.
  • Build credibility with senior leadership as an expert on Faire's business and how the algorithms behind it impact our customers and business.
  • Serve as a go-to product leader for ambiguous, high-stakes problems in Discovery algorithms space.
  • Raise the bar on how our product and data science teams work together, especially as AI reshapes how that partnership operates day to day.
  • Build the case for how Personalization's scope should split, then help hire and onboard a second PM to share it.

Qualifications

  • 8+ years of product management experience, including senior IC or Staff-level ownership of a technical product area.
  • Direct experience shipping recommendation, ranking, or personalization systems.
  • Strong business judgment, with a track record of making tough prioritization calls across multiple stakeholder teams in order to delivery on ambitious goals.
  • Experience splitting execution responsibility with partner teams on shared goals — defining who owns what and aligning roadmaps.
  • Prior people-management experience is a plus, but not required.

Salary Range

San Francisco, CA, US: The pay range for this role is $220,000 - $302,500 USD 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.

Standard company text repeated across Faire's postings is omitted here.

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