Description
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.
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.
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.
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.
- 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.
- 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.
- 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.
- Expertise in data quality and observability tools.
- Strong SQL skills and ability to design scalable analytical data models.
Benefits:
- Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
- 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.
- Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.