About Faire
Faire is an online wholesale marketplace built on the belief that the future is local — independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. 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. If you believe in community, come join ours.
About this role
We're looking for a strong analytical thinker to build and own Faire's Supply Chain and Inventory forecasting for the Fulfilled by Faire program from the ground up. Faire's brands rely on us to be more than a sales channel — we're a business partner. A core part of that means helping brands stay in-stock, manage their inventory effectively, and never miss a sale. As the owner of Supply Chain Analytics, you'll sit at the intersection of data, operations, and brand success. You'll own the translation of our demand forecasting models into concrete, brand-level inventory guidance, monitor the health of brand inventory across the marketplace, and drive meaningful reductions in out-of-stock (OOS) rates that directly influence brands’ sales and success on Faire.
This role is for someone who is equal parts data practitioner and problem-solver — someone who loves getting into the weeds of a complex dataset, and isn't satisfied until the insights they surface actually move the needle for thousands of brands.
What you’ll do
- Own inventory forecasting for Faire's brand base — translate demand model outputs into actionable inventory replenishment guidance and purchase recommendations for brands.
- Build and maintain supply chain analytics infrastructure — develop and own the data pipelines, dashboards, and models that track inventory health, turn rates, and OOS risk across the catalog.
- Build and maintain demand forecast - build and own the demand forecast with 3PL warehouse operator so they can drive staffing and forecast planning based on order and inventory volume movements; and to meet our aligned upon SLAs
- Lead OOS monitoring and intervention — proactively identify brands and SKUs at risk of going out of stock, quantify the GMV impact, and design scalable interventions (alerts, nudges, tooling) in partnership with Product and GTM.
- Define and track inventory health metrics — own key KPIs including OOS rate, inventory coverage, stockout frequency, and false OOS rate; set goals and report progress to leadership.
- Partner cross-functionally — work closely with GTM and Ops teams (the primary internal customers of inventory guidance), as well as Data Science and Finance, to ensure outputs are actionable, trusted, and integrated into operational workflows.
- Develop scalable analytical frameworks — build reusable models and methodologies for segmenting brands by inventory risk profile and tailoring guidance accordingly.
- Communicate findings with clarity — synthesize complex supply chain dynamics into crisp, decision-ready narratives for both operational teams and senior leadership.
Qualifications
- 3–6 years of experience in supply chain analytics, demand planning, operations analytics, or a closely related analytical discipline.
- Strong SQL skills — you can independently query large, complex datasets and structure analyses from scratch.
- Hands-on experience with forecasting or demand planning — you've worked with statistical demand models (e.g., time series, regression-based) and understand how to translate forecast outputs into operational guidance.
- Proficiency in Python or R (preferred) for data wrangling, modeling, and workflow automation.
- Comfort with BI and visualization tools — Tableau, Looker, Mode, or similar.
- Experience with inventory management concepts — safety stock, reorder points, lead times, stockout costs, service levels, and days of supply.
- Strong business acumen — you connect analytical work to business outcomes and can prioritize ruthlessly based on impact.
- Excellent communicator — written and verbal; you make complex topics accessible to non-technical audiences.
- Collaborative and low-ego — you thrive working across functions and are comfortable operating in ambiguity.
Salary Range
California: the pay range for this role is $158,500 to $218,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, 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.
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
- We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
- We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
- We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
- We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.
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)
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