Design and operate low-latency configuration delivery systems, build highly scalable data ingestion and analytics infrastructure, and improve the performance, efficiency, and reliability of Statsig's core infrastructure.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
About The Team
The Statsig team within OpenAI is responsible for the core experimentation, rollout, and analytics infrastructure that powers every layer of OpenAI’s product development stack. Our systems enable teams across OpenAI to safely launch features, run experiments, and understand how product and model changes perform in the real world.
Based out of OpenAI’s Bellevue office, we are a tight-knit team that values in-person collaboration, moving quickly with a strong bias toward impact, and building systems that empower other builders across the company.
About The Role
As a Senior Infrastructure Engineer on the Statsig team, you will build and scale the foundational infrastructure that powers OpenAI’s experimentation and rollout tools.
You’ll work on the distributed systems that deliver configuration decisions in real time, ingest massive volumes of experimentation data, and power analytics that help teams understand how product and model changes perform in production.
This role is deeply technical and focuses on performance, scalability, and reliability at extreme scale. You will design systems that support billions of feature evaluations, operate with strict latency requirements, and provide the data foundation for experimentation across OpenAI’s product ecosystem.
In This Role, You Will
- Design and operate low-latency configuration delivery systems powering progressive rollouts across OpenAI’s product suites.
- Build highly scalable data ingestion and analytics infrastructure to support experimentation, product analytics, and feature performance monitoring.
- Improve the performance, efficiency, and reliability of Statsig’s core infrastructure, ensuring systems remain fast and stable as OpenAI’s products scale globally.
- Optimize query performance and data availability for experimentation and analytics workflows used by teams across OpenAI.
- Lead large technical initiatives and shape the architecture of experimentation and rollout infrastructure used across the company.
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- Have experience building large-scale distributed systems with strict performance and reliability requirements.
- Enjoy solving low-latency systems problems, such as real-time configuration delivery, high-throughput ingestion pipelines, or large-scale analytics systems.
- Have experience building and optimizing large-scale data platforms, event pipelines, etc.
- Care deeply about system reliability, observability, and operational excellence in production environments.
- Take ownership of complex technical problems end-to-end and enjoy building infrastructure that enables other teams to move faster.
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About OpenAI
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We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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