About the job
About Our Team
Join the Statsig team at OpenAI, where we engineer the essential experimentation, rollout, and analytics infrastructure that drives every aspect of our product development. Our innovative systems empower teams across OpenAI to launch features safely, conduct experiments, and analyze the performance of product and model changes in real environments.
Based in our Bellevue office, we are a close-knit group that thrives on in-person collaboration, rapid execution with a focus on impact, and creating systems that enable creativity across the organization.
About the Role
As a Senior Infrastructure Engineer on the Statsig team, you will play a vital role in designing and scaling the core infrastructure that supports OpenAI's experimentation and rollout tools.
You will engage with distributed systems that provide real-time configuration decisions, handle vast amounts of experimentation data, and facilitate analytics that help teams gauge the effectiveness of product and model adaptations in production.
This position demands a deep technical understanding and emphasizes performance, scalability, and reliability at an unprecedented scale. You will architect systems capable of supporting billions of feature evaluations, adhering to stringent latency standards, and establishing the data foundation for experimentation throughout OpenAI's product ecosystem.
In this position, you will:
Design and implement low-latency configuration delivery systems that drive progressive rollouts across OpenAI's diverse product offerings.
Develop a highly scalable data ingestion and analytics infrastructure to enhance experimentation, product analytics, and feature performance tracking.
Elevate the performance, efficiency, and reliability of Statsig’s core infrastructure, ensuring systems remain fast and stable as OpenAI’s products expand globally.
Optimize query performance and data accessibility for experimentation and analytics workflows utilized by teams across OpenAI.
Lead significant technical initiatives and influence the architecture of the experimentation and rollout infrastructure utilized company-wide.
You may excel in this role if you:
Possess experience building large-scale distributed systems with rigorous performance and reliability standards.
Thrive on solving low-latency systems challenges, such as real-time configuration delivery and data analysis.

