Snowflake is building a brand new Experimentation Platform Team to empower engineers and data scientists across the company to safely and quickly run experiments that measure the impact of new features and products, addressing unique challenges of enterprise-grade systems like ensuring reliability and safety of mission-critical customer workloads, balancing rigorous measurement with fast iteration, and operating in a space with high ambiguity.
Requirements
- Proven experience (8+ years) building large-scale distributed systems, data platforms, or experimentation/metrics systems.
- Deep technical expertise in backend engineering, with strong proficiency in one or more of: Java, Go, C++, or Python.
- Strong understanding of data pipelines, logging/metrics infrastructure, and statistical analysis workflows.
- Experience designing platforms or frameworks adopted across multiple teams.
- Ability to set technical vision and influence senior leadership, while remaining hands-on in implementation.
- Experience working in ambiguous, 0-to-1 environments where both technology and processes need to be defined.
- Prior experience with experimentation platforms (A/B testing, feature flagging, measurement frameworks) is highly desirable.
Responsibilities
- Lead architecture and design for a scalable experimentation platform, ensuring it meets the unique requirements of enterprise customers.
- Balance safety with speed by creating systems that allow teams to innovate quickly without compromising reliability or customer trust.
- Drive clarity in ambiguity, helping the team navigate trade-offs and iterate toward long-term solutions.
- Mentor and guide engineers within the team and across the company in experimentation best practices.
- Influence company-wide strategy for how experimentation is embedded into the product lifecycle.
- Design and build a highly scalable and robust experimentation platform from the ground up.
- Shape the long-term architecture and vision across three major pillars: Configuration system, Measurement system, and Analysis system.
Other
- Collaborate cross-functionally with engineers, data scientists, and product teams to define experimentation workflows and success criteria.
- Strong communication skills to work effectively with both engineers and non-technical stakeholders.
- Ability to troubleshoot and resolve complex technical issues.
- A strong work ethic, ability to self-manage and drive project success, and a passion for problem-solving.
- Strong bias towards action and not afraid to take up manual and operational tasks to get things done.
