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.
The Discovery pillar's mission is to make it easy and delightful for retailers to find brands and products their customers will love. This role will own development of our algorithms powering search, the largest discovery surface by order volume.
This role sits at the intersection of data science, marketplace strategy, and execution. You'll work closely with a world-class data science team to define goals, drive analytical clarity, and maintain the execution velocity that lets us keep improving these systems.
This is not a traditional PM role. We are looking for someone with deep analytical DNA — from a strategy & analytics, quantitative finance, or data science background. Prior product management experience is not required.
What you'll do- Develop and execute on a strategy that takes our search algorithms to the next level
- Own a product roadmap for one of our search algorithm areas (such as ranking, retrieval, or query understanding) that is analytically grounded, clearly prioritized, and connected to business outcomes.
- Direct the analytical work of the pod — working alongside dedicated strategy & analytics and data science partners to identify novel opportunities, diagnose root causes of failure modes, interpret outputs, and translate findings into clear priorities
- Build trusted partnerships across ML Platform, Discovery Infrastructure, and adjacent Search and Personalization teams — managing team bandwidth while delivering on shared goals
- Represent the team's strategy and progress to leadership, connecting algorithmic work to marketplace outcomes with analytical confidence.
- Bachelor's degree or equivalent experience
- 5+ years of experience in a highly analytical role — such as strategy & analytics, quantitative finance, applied data science, or hands-on analytical consulting (e.g., economic consulting, or implementation-focused consulting with deep data and modeling work). We are open to candidates without prior product management experience who bring the right analytical depth and business judgment
- Deep comfort working in data — you independently generate insights by knowing how to slice and frame analytical questions, and could hold your own sparring with data scientists on methodology and interpretation
- Strong goal definition skills — you translate ambiguous business objectives into crisp, unambiguous goals, and catch misalignment early
- Execution rigor across complex, multi-dependency work — you run a tight operation across many moving parts and proactively unblock bottlenecks
- Marketplace business intuition — you reason about algorithmic decisions in aggregate terms (conversion, reorder rate, revenue impact) and understand two-sided marketplace tradeoffs
- ML/DS partnership fluency — you don't need to build models, but you understand algorithmic system architecture well enough to ask the right questions and communicate credibly with highly technical counterparts
- Experience in search, recommendations, or ads at a tech company is a plus
Salary Range
San Francisco, CA: The pay range for this role is $188,000 - $258,500 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
- 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)
Faire New York, New York, USA Office
New York, NY, United States
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