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Updated 2026-06-30 00:00 UTC·© 2025–2026 RoleSuite
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Strategy & Analytics Senior Lead, Fulfillment

Faire · San Francisco, CA

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

About this role

Fulfillment is Faire's top long-term strategic bet – one that fundamentally changes how both brands and retailers do business. We're looking for a Strategy & Analytics Senior Lead to drive better decisions, faster, as we scale fulfillment from 1% to 50%+ of GMV.

In this role, you'll bring analytical rigor, strategic intuition, and a bias toward action to one of the most complex and high-stakes problem spaces at Faire, spanning product analytics, brand supply, retailer demand, unit economics, and quality. You'll partner closely with Product, Engineering, Operations, Finance, and GTM to define what success looks like, uncover what's holding us back, and turn insights into strategy.

This is an ideal role for someone who thrives as a high-leverage individual contributor who can also align and coordinate a team across functions, wants to work at the intersection of data and strategy, and is energized by ambiguous 0→1 problems with real business consequences.

What you’ll do 

  • Be the analytical DRI for fulfillment. Fulfillment is one of Faire's largest cross-functional efforts, with cross-functional analytical partners spanning Finance, Operations, Data Science, GTM, and Strategy & Analytics. You'll own our north-star metrics across brand supply, retailer demand, unit economics, and quality, and develop deep intuition on how they're trending. Most importantly, you'll make sure the team is coordinated, aligned, and working on the highest-impact questions, and you'll be the person who surfaces the most salient insights to drive the business forward.
  • Own experimentation strategy. You'll set the experimentation roadmap for Fulfillment and own analysis of the results, from short product-improvement tests to long-running holdouts that measure incremental GMV. Where a clean A/B isn't possible, you'll bring the right causal-inference approach to the problem, including synthetic matched-cohort designs and other quasi-experimental methods, so we can make confident calls about what's actually having impact.
  • Own product analytics. You'll make sure we're measuring the right things across the fulfillment product, from discovery and conversion to cart and reorder behavior, and that our event logging and instrumentation are accurate and trustworthy. You'll turn that measurement into insight on where and how to improve the product.
  • Drive brand-growth analytics. Brands are our supply side, and their success in the Fulfillment experience is essential for the long-term health of the program. You'll ensure we're measuring the right things to understand whether participating brands are growing, decompose what's driving (or holding back) that growth, and surface the levers that accelerate it.
  • Lead cross-functional strategic initiatives. Partner with Product, Operations, Finance, and GTM to tackle the hardest strategic questions in fulfillment, developing hypotheses, executing in-depth analyses, and making recommendations to leadership.
  • Uplevel the team. You'll build scalable analytical processes and tools that make the entire fulfillment team smarter and faster, with a particular emphasis on leveraging AI to automate analysis, encode reusable workflows, and raise the leverage of every analyst on the team.

Qualifications

  • 8+ years of relevant work experience in an analytical and strategic role across product analytics, consulting, or business operations
  • You are a strategic problem solver. You can break down ambiguous problems and apply a first principles approach to solving them
  • You are highly analytical and metrics-focused. You can execute on complex analyses, define KPIs, size opportunity areas, and measure and report on performance across the business
  • You are a strong communicator. You can crisply communicate actionable data-driven insights to all audiences
  • You have strong product and business intuition. You contextualize how insights fit into broader business goals and have a strong understanding of product and business metrics
  • You have a solid analytical foundation. You can use SQL or Excel to analyze large datasets and have strong analytical rigor and experimentation experience.
  • You are scrappy and resourceful. When something needs to get done, you always find a way to make it happen
  • You are an extraordinarily fast learner. You have the natural curiosity and intellectual horsepower to deeply understand new topics and pick up new skills in a very short time

Nice to Have

  • Comfort using AI tools (e.g., Claude Code, Codex, Cursor) 
  • Experience setting up data models and data pipelines 
  • Background in marketplaces, logistics, fulfillment, or supply chain analytics

Salary Range

San Francisco: the pay range for this role is $197,500 - $271,500 per year. 

This role is also eligible for equity and benefits. Actual base pay will be determined based on permissible factors including transferable skills, work experience, and market demand.

This role is based in San Francisco.

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: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
  • Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
  • Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
  • Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
  • Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.  To request reasonable accommodation, please fill out our Accommodation Request Form (https://bit.ly/faire-form)

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Analytics pay context

Based on 920 disclosed Analytics salaries on RoleSuite, the role pays a median of $127K/year, with most offers between $101K and $161K (10th–90th percentile: $86K–$200K).

This posting lists $198K–$272K, above the $127K market median.

See the full Analytics salary breakdown →
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