Job description

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. About this role: Our Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure. We enable product engineering teams to build and operate software with unmatched speed and quality. We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance. This role is for a highly experienced technical leader specializing in experimentation infrastructure. This role will influence and interact with all users of experiments functionality at Faire. From product teams and associated analytics engineering, to data scientists, Faire’s Strategy and Analytics function, etc. This technical leader will define and execute a technology roadmap and set design and usage patterns in the experimentation space. Striking the right balance of technical leadership and hands-on development. What you’ll do: Define and execute long-term strategy for experimentation and measurement company-wide. Establish and develop a technology roadmap for a centralized experimentation platform powered by Eppo and integrated with Faire’s data ecosystem. Including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, result interpretation. Partner with Faire’s Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure. Qualifications: Extensive software engineering experience with strong focus on experimentation, analytics infrastructure, and product development. Proficient in defining technical vision for experimentation and leading adoption across organizational boundaries. Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable. Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques. Ability to translate business objectives into experimentation and measurement capabilities. Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable. Strong understanding of experiment lifecycle management and key methodologies. Experience collaborating across disciplines to ensure rigor and trustworthy decision-making. Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable. Expertise in data quality and observability tools; Anomalo experience especially valuable. Strong SQL skills and ability to design scalable analytical data models. Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin. Salary range: San Francisco: the pay range for this role is $231,000 to $318,000 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. 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 ( bit.ly) 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 (faire.com)

Requirements

Must-haves

Define and execute long-term strategy for experimentation and measurement company-wide.
Partner with Faire’s Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure.
Extensive experience designing, building, and scaling experimentation platforms in SaaS systems; focus on marketplace and e-commerce environments especially valuable.
Deep understanding of A/B testing, multivariate testing, feature rollout, progressive delivery techniques.
Ability to translate business objectives into experimentation and measurement capabilities.
Experience implementing and operating commercial or open-source experimentation platforms; Eppo experience especially valuable.
Strong understanding of experiment lifecycle management and key methodologies.
Experience collaborating across disciplines to ensure rigor and trustworthy decision-making.
Strong knowledge of modern data stacks; Snowflake and Databricks experience especially valuable.
Expertise in data quality and observability tools; Anomalo experience especially valuable.
Strong SQL skills and ability to design scalable analytical data models.
Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin.
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.

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machine learningsqlawspythonkotlingoaiaccessibility

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