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Salary: CAD 190,500 - 262,000 / annual
Faire is a technology wholesale platform connecting independent retailers globally with suppliers and products. The company operates a multi-hundred-billion-dollar marketplace using tech, data, and machine learning to serve millions of users.
You will be a highly experienced technical leader specializing in experimentation infrastructure, reporting to the Platform group within Engineering. This is a staff-level individual contributor role with significant technical influence across the organization.
Key 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, integrated with Faire's data ecosystem
- Own measurement infrastructure, experiment lifecycle, governance, self-service tooling, standards for experiment design, metric creation, and result interpretation
- Partner with Strategy & Analytics, Product Management, Data Science, and other functions who consume experimentation infrastructure
- Influence and interact with all users of experiments functionality across product teams, analytics engineering, data scientists, and strategy teams
- Balance technical leadership with hands-on development
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 and 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 preferred
- Strong understanding of experiment lifecycle management and statistical methodologies
- Experience collaborating across disciplines to ensure rigor and trustworthy decision-making
- Strong knowledge of modern data stacks; Snowflake and Databricks experience valuable
- Expertise in data quality and observability tools; Anomalo experience valuable
- Strong SQL skills and ability to design scalable analytical data models
- Proficiency with AWS, Snowflake, Airflow, Spark, Python, Kotlin
Workplace: Hybrid with 3 days per week in office (Tuesdays, Thursdays, plus one flex day). Up to 4 weeks remote work per year permitted.
