Staff Engineer - Experimentation Platform Job Toronto area,Ontario Canada,IT/Tech

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 m 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:

Canada: the pay range for this role is $190,500 to $262,000 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…