Staff Engineer - Experimentation Platform

About the Position

We are looking for a Staff Engineer - Experimentation Platform to join our team in San Francisco, CA. At Faire, we believe in the power of local businesses and are using technology to connect independent retailers around the globe. Our Engineering organization is dedicated to providing the best tools and insights to empower these businesses. This role is for a highly experienced technical leader specializing in experimentation infrastructure.

Responsibilities

• 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. This includes measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, and result interpretation.
• Partner with Faire’s Strategy and Analytics group, Product Management, Data Science, and other functions who are key consumers of experiments infrastructure.

Requirements

• Extensive software engineering experience with a 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 is especially valuable.
• Deep understanding of A/B testing, multivariate testing, feature rollout, and 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 is 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 is especially valuable.
• Expertise in data quality and observability tools; Anomalo experience is 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.

We Offer

• Competitive salary range: $231,000 to $318,000 per year in San Francisco.
• Equity and benefits.
• Hybrid work schedule: 3 days in-office (Tuesdays, Thursdays, and a third flex day of your choosing) and remote work flexibility up to 4 weeks per year.
• Why you’ll love working at Faire:
  • Move fast and own meaningful problems that serve customers globally.
  • Equipped to scale with the latest enterprise AI tools.
  • Best in class team of sharp, kind, and generous colleagues.
  • Real rewards including competitive pay, equity, and comprehensive benefits.
  • Belonging: An environment where every Faire employee has equal access to opportunities, growth, and success.

About the Company

Faire is a technology wholesale platform built on the belief that the future is local. Founded in 2017 by a team of early product and engineering leads from Square, we are backed by top investors in retail and tech. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York.

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. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities.

For more information about Faire and our customers, you can read more on our blog.

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)