Faire is an online wholesale marketplace built on the belief that the future is local — there are over 1M independent retailers in the U.S. and Canada doing more than twice the revenue of Walmart and Amazon combined. At Faire, we're using the power of tech, data, and machine learning to connect a thriving community of over 150,000 brands and local retailers around the world. Picture your favorite boutique in town — we help them discover the best products to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses can compete with these big box and ecommerce giants. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement.

Job Description

At Faire we build elegant and efficient products to deliver superior customer experiences and enhance marketplace efficiency at the same time. From the mobile checkout process, to personalized search ranking, to the intelligent underwriting engine that determines credit limits for retailers---we are constantly iterating and innovating our product offering to create more value for the ecosystem. 

On the Data Science team, we’re looking for someone who’s comfortable working on interesting growth, engagement, and retention-related problems across our two-sided marketplace using both cutting edge and proven techniques. As a member of a fast-growing company and team, you will be working closely with other data scientists, engineers, and product managers to provide effective support and work on a number of problems related to helping acquire retailers and brands at scale in an efficient manner and improve retention as well as lifetime value. 

What you will be doing:

  • You will help us establishing a working model for properly acquiring, retaining and engaging with either our retail or brand customers.
  • Provide Data Science support for growth marketing as well as paid marketing optimization across Google/Facebook ads and improve effectiveness of SEO/SEM efforts.
  • Support the optimization of our new retailer promotion strategy and incentives (free shipping, other promos, etc.) and determine which is most effective.
  • Enhance the product experience for new retailers to help them find the most relevant products and brands.
  • Design and improve our referral and loyalty program through strategic insights and experimentation.
  • Define what success looks like for each brand and identify actionable recommendations to empower brands to achieve their fullest potentials.
  • Improve engagement and retention (lifecycle value) and tuning email/push notifications and other product innovations

What it takes:

  • Advanced degree in any number of relevant disciplines across STEM fields, Operations Research, and Business.
  • 2+ years of industry experience using experimentation, machine learning, and analytics to solve real world problems with large datasets.
  • Experience and excitement in driving growth marketing, engagement, and retention initiatives.
  • Exceptional product and business sense.
  • Resourcefulness and proactiveness: track record for executing independent projects and leading complex, multi-functional projects with several dependencies.
  • Strong communication skills: can effectively and patiently work with others in a closely collaborative team environment and evangelize growth marketing initiatives to the organization. 
  • Proficiency with Python / R and SQL.

Why you’ll love working at Faire: 

  • We are entrepreneurs: We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is an owner of the business and taking part in the founding process.
  • We are using tech and machine learning to level the playing field: We are using the power of technology and data to connect brands and boutiques from all over the world, building a thriving community of over 100,000 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: We always find a way to get the job done and come up with creative solutions to whatever problems are standing in our way. People at Faire are insatiably curious. We lead with curiosity and data in our decision making and reason from a first principles mindset. 

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 offices in San Francisco, Kitchener-Waterloo, and Salt Lake City. We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. To learn more about Faire and our customers, you can read more on our blog

Faire is being built for entrepreneurs, by entrepreneurs.

Additional Information

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.

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U.S. Demographic Questions

We believe the future is local. At the core of that future are our customers, a diverse and unique community of entrepreneurs who have taken a chance on themselves. We’re inspired by these dreamers who work today and every day for a better future for their communities. We are committed to building a community and sense of belonging here at Faire that reflects the customers we serve. We want to ensure that we hold ourselves to that commitment externally and internally because differences in perspectives, experiences, and ideas are what make us successful.  

Below is a set of voluntary demographic questions that are a part of our Diversity and Inclusion initiatives. If you choose to fill them out, the responses will be used (in aggregate only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not, in any way, be used in the hiring decision.

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