Faire

Faire

Staff Product Manager, Relationship Growth

New York City, NY; San Francisco, CA · Staff+

Sponsorship not specified$220k-$303kDetected 1 day ago
Machine LearningData ScienceA/B TestingProduct ManagementProduct StrategyCRMAccount ManagementLead GenerationCommunication

About the role

  • The Relationship Growth team helps brands and retailers on Faire connect and collectively grow their businesses.
  • Tracking and understanding retailers - the data and insights brands use to know who their most valuable customers are and how to grow with them.
  • Reaching out with updates and information retailers care about - brand-sent emails, in-product surfaces, proprietary messaging channels, and the systems that carry them across updates like new product/collection launches, abandoned carts etc.

Responsibilities

  • Own strategy and roadmap for Relationship Growth. Set the multi-year direction for how Faire's brand-side tools evolve and deliver compounding value to retailers, brands, and Faire.
  • Keep raising the bar on how these tools drive growth. Meaningfully rebuild and up-level tools and programs where the current ceiling is too low.
  • Partner across the full EPDD and GTM team. Work closely with design, engineering, data science, marketing, account management, PMM, and brand sales to land work that often requires sensitive, high-stakes go-to-market alongside the product itself.
  • Set the direction for how AI reshapes the wholesale tech and martech tools brands rely on, including what Faire should build, buy, or differentiate on.
  • Own strategy and roadmap for Relationship Growth.
  • Set the multi-year direction for how Faire's brand-side tools evolve and deliver compounding value to retailers, brands, and Faire.
  • Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.

Requirements

  • 8+ years of product management experience.
  • You are fluent with the dynamics of competing customer objectives across both sides of the marketplace, you anticipate second-order effects, and you have a track record of finding elusive win-win solutions.
  • Proven zero-to-one product experience.
  • Experience leading major launches alongside go-to-market and marketing teams.
  • Experience with product analytics, A/B testing, long-term holdouts, and modeling out product impact.
  • Proven leader who influences across functions and at the executive level.
  • Direct marketplace experience. You are fluent with the dynamics of competing customer objectives across both sides of the marketplace, you anticipate second-order effects, and you have a track record of finding elusive win-win solutions.
  • This role goes beyond a traditional product role, closer to running a small business inside Faire. Experience in consulting, finance, professional services, or business school can be especially useful preparation for the strategic and cross-functional complexity it involves. Direct experience in growth, marketing, or CRM is a plus.
  • AI-first in your own and your team's workflows, and in what you build. You actively use AI to move faster, ship more, and make your team more effective. You have a clear point of view on how to apply AI to brand-facing tools in wholesale tech and martech, including what is possible now and what is around the corner.
  • Highly customer-focused, with strong qualitative and quantitative judgment. You make decisions that hold up on both sides of the marketplace, for brands and for retailers.
  • Strong strategic thinking and execution skills. Excited to set high-level vision and strategy while also finessing customer-experience details, with a clear track record of driving business impact through product.
  • Proven zero-to-one product experience. You have built and shipped new, customer-facing capabilities from early concept through launch and iteration, with the discipline to set crisp success metrics and drive tight build-learn-iterate cycles.
  • Structured communicator and systems thinker who can make complexity simple.
  • Experience with product analytics, A/B testing, long-term holdouts, and modeling out product impact. You pull a coherent picture from a wide range of data types and methods, you acknowledge what you do not yet know, and you are a thoughtful partner and challenger to your data and analytics partners.
  • Proven leader who influences across functions and at the executive level. You set direction for the full EPDD and GTM team, pull in the right partners, hold them accountable, recruit A-players, and uplevel the people around you.
  • Owner and builder. You want to meaningfully rebuild and up-level tools and programs, you get into the details, and you hold a high bar for yourself and the team across a large and complex scope.

Nice to have

  • This role goes beyond a traditional product role, closer to running a small business inside Faire.
  • Experience in consulting, finance, professional services, or business school can be especially useful preparation for the strategic and cross-functional complexity it involves.
  • Direct experience in growth, marketing, or CRM is a plus.

Skills

  • Faire is a technology wholesale platform built on the belief that the future is local.
  • Best in

Compensation

  • San Francisco, CA/New York City, NY: The pay range for this role is $220,000 - $302,500 per year.
  • 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.
  • Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year.
  • The pay range for this role is $220,000 - $302,500 per year.

Benefits

  • This role will also be eligible for equity and benefits.
  • Excited to set high-level vision and strategy while also finessing customer-experience details, with a clear track record of driving business impact through product.

This listing is sourced directly from Faire's careers page and normalized into a canonical job model.