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Salary: USD 231,000 - 318,000 / annual
Faire is a technology wholesale platform connecting independent retailers globally with suppliers. The Engineering organization builds the software powering this marketplace, with the Platform group providing infrastructure and tools to enable Product Engineering, Data Science, Product Management, Analytics, and other functions.
This Staff Engineer role focuses on designing and scaling Faire's experimentation and measurement infrastructure company-wide. You will define the long-term strategy for experimentation, establish a technology roadmap for a centralized experimentation platform (powered by Eppo and integrated with Faire's data ecosystem), and partner across Strategy & Analytics, Product Management, Data Science, and other key stakeholders.
Key responsibilities include:
- Define and execute long-term strategy for experimentation and measurement across the company
- Establish and develop a technology roadmap for centralized experimentation platform, including measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, and result interpretation
- Partner with cross-functional teams who consume experimentation infrastructure
- Balance technical leadership with hands-on development
- Influence experimentation functionality usage across all product and analytics teams
Required qualifications:
- Extensive software engineering experience with strong focus on experimentation, analytics infrastructure, and product development
- Proven track record designing, building, and scaling experimentation platforms in SaaS systems (marketplace/e-commerce experience 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 valued)
- Strong understanding of experiment lifecycle management and statistical methodologies
- Experience collaborating across disciplines to ensure rigor and trustworthy decision-making
- Knowledge of modern data stacks (Snowflake, Databricks experience valued)
- Expertise in data quality and observability tools (Anomalo experience valued)
- Strong SQL skills and ability to design scalable analytical data models
- Familiarity with AWS, Snowflake, Airflow, Spark, Python, Kotlin
Faire offers hybrid work (3 days/week in office: Tues, Thurs, plus one flex day) with flexibility to work remotely up to 4 weeks annually. Compensation includes base salary, equity, and benefits.
