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 owns a product roadmap for one of our search algorithm areas — ranking, retrieval, or query understanding — 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, get into the weeds of the data, and maintain the execution velocity that lets us keep improving these systems.
What you'll do- Own a roadmap for your search algorithm area that is analytically grounded, clearly prioritized, and connected to business outcomes such as retention, reorder rate, and buyer conversion.
- Direct the analytical work of your pod — partnering with dedicated strategy & analytics and data science partners to identify opportunities, diagnose root causes of failure modes, interpret outputs, and turn findings into clear priorities.
- Refine the offline and online metrics that help us understand the retailer's search experience and the performance of each system component.
- Run a tight operation across many moving parts — ML platform dependencies, retrieval/ranking coupling, feature engineering cycles, model architecture changes — and proactively unblock bottlenecks.
- Build trusted partnerships across ML Platform, Discovery Infrastructure, and adjacent Search and Personalization teams, managing your team's bandwidth while delivering on shared goals.
- Represent your team's strategy and progress to leadership, connecting algorithmic work to marketplace outcomes.
- Bachelor's degree or equivalent experience
- 4+ years of product management experience at a high-growth tech company, or 5+ years as a data scientist or machine learning engineer with 1-2 years transitioned into a product management role.
- 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
- You are relentlessly resourceful and comfortable executing with limited information and ambiguity
- 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)
Skills Required
- Bachelor's degree or equivalent experience.
- 7+ years in a product or technical role at a high-growth tech startup.
- Experience building high-scale products with engineering and data science teams.
- Regular use of ML/AI to solve business problems and familiarity with recent advancements.
- Experience working on search algorithms.
- Fast learner with ability to quickly understand new topics and skills.
- Relentlessly resourceful and able to execute with limited information.
- Creative problem-solver who identifies unintuitive solutions to tough problems.
- Passion for building products that create excellent customer experiences.
Faire Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Faire and has not been reviewed or approved by Faire.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive across medical, dental, and vision, with dental preventative care covered at 100% and disability coverage described as fully covered. Mental health support is treated as a core benefit through therapy/coaching access and tools such as Headspace.
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Leave & Time Off Breadth — Time off is framed as generous through paid vacation, holidays, and company-wide PTO days (“Faire Fundays”), with multiple mentions of unlimited or flexible PTO language. Remote/hybrid flexibility is also repeatedly presented as a meaningful part of the overall rewards experience.
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Parental & Family Support — Parental leave is characterized as generous, and fertility support is explicitly included in the benefits package. Family-oriented community support is reinforced through a dedicated parent ERG (“Fairents”).
Faire Insights
What We Do
Faire is an online wholesale marketplace built on the belief that the future is local — there are over 2 million independent retailers in North America and Europe doing more than $2 trillion in revenue. 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 that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement.
Why Work With Us
Faire is being built for entrepreneurs, by entrepreneurs. Our customers are at the heart of every decision we make, and we are motivated by the impact we have on local economies and communities around the world. If you believe in community, come join ours.
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