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A wholesale marketplace that connects independent shops with brands.

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About Faire

The company, in brief.

What they do

Faire runs an online wholesale marketplace. Independent retailers, such as a local boutique, use it to find and buy products from brands around the world. Faire uses data and machine learning to match shops and brands. A team of early leads from Square started it in 2017. Y Combinator, Sequoia Capital, Lightspeed, and Founders Fund back it.

What they value

  • Move fast, and own problems that serve customers around the globe.
  • Use the latest AI tools to work smarter.
  • Be sharp, kind, and generous, and care about your craft.
  • Give every employee equal access to opportunities and growth.
  • Believe that the future is local, and support independent retail.

Where they hire

Roles are in San Francisco, New York City, Toronto, Kitchener-Waterloo, London, and Chicago. Three roles are remote, two in the US and one in Ontario. Hybrid staff go to the office 3 days a week and can work remote up to 4 weeks a year. No Posting mentions the right to work or visa sponsorship.

Teams and roles

The board lists 76 open roles.

  • Algorithms and data (17): applied AI and machine learning scientists for search, ranking, and listing quality, and machine learning platform engineers.
  • Engineering (16): product and software engineers for brands, retailers, ads, search, and internal platforms. The backend uses Kotlin and Java, and the frontend uses React and TypeScript.
  • Strategy and analytics, security, marketing, finance, and brand partnerships, which sells to brands.
  • People, customer support, legal, design, and product.

Postings give a pay range for each city, and add equity.

What they look for

Most Postings ask for a number of years in the field, most often 5 or more or 3 or more. Many roles ask for strong communication and work with teams across the company. Engineering Postings want Kotlin or Java on the backend. Data and science roles want SQL and Python, and scientist roles often ask for a master's degree or PhD. Several roles want experience with A/B tests (tests that compare two versions of a product). About a third of Postings ask you to use AI tools in your daily work.

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