About the job
About the Team
Join the Statsig team at OpenAI, where we are at the forefront of experimentation, rollout, and analytics infrastructure that drives innovation in our product development processes. Our robust systems empower teams to safely launch features, conduct experiments, and assess the performance of product and model changes in real-time.
Located in OpenAI’s Bellevue office, we foster a collaborative environment that prioritizes in-person teamwork, rapid execution, and the creation of tools that enable our fellow engineers to thrive.
About the Role
As a Senior Product Engineer on the Statsig team, you will play a pivotal role in designing and implementing the experimentation and rollout platform utilized by our diverse product and research teams at OpenAI. Your work will focus on developing the core infrastructure that ensures engineers can launch new features securely, conduct user testing, and gauge the impact of changes on a global scale.
This position sits at the crossroads of product engineering and platform infrastructure, requiring close collaboration with teams across ChatGPT, the API, Growth, and Research to maintain rapid development cycles while upholding strong experimentation and rollout practices.
Key Responsibilities:
Design and build the core experimentation and rollout infrastructure that enables teams to safely launch and evaluate product and model changes.
Develop systems for feature management, progressive rollouts, and canary deployments, allowing engineers to ship features quickly while minimizing risks to users.
Collaborate closely with Data Science to facilitate the widespread adoption of advanced statistical methodologies.
Work in partnership with product, infrastructure, and research teams to seamlessly integrate experimentation and rollout systems into the product development lifecycle.
Lead significant technical initiatives, influencing the architecture and future evolution of OpenAI’s experimentation and launch infrastructure.
Ideal Candidate:
Possesses substantial experience in building internal tooling infrastructure, such as data platforms, experimentation frameworks, feature flagging systems, and developer platforms.
Enjoys enhancing systems that empower other engineers to accelerate their work, with a strong focus on developer experience and platform usability.
