Software Engineer, Full-Stack - Core Experimentation
Technologies
experimentation platform · feature flagging · rollout tooling · canary deployments · distributed systems · internal developer platform · analytics infrastructure
About OpenAI
Builds frontier AI models (GPT series) and ships them as ChatGPT consumer/enterprise products plus a developer API for the broader AI ecosystem.
Private Late
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the
More from the job description
About the Team The Statsig team within OpenAI builds the experimentation, feature rollout, dynamic configuration, and analytics systems that help OpenAI ship products with speed, safety, and evidence. Our work sits on the critical path for how product, engineering, research, and go-to-market teams learn from real-world usage and make high-confidence decisions. Statsig began as an independent company focused on helping builders move faster through trustworthy experimentation and feature management. After Statsig joined OpenAI, the team began the next chapter: bringing that deep product expertise, customer intuition, and mature platform infrastructure into OpenAI as the experimentation and rollout platform for every product we ship. Today, we support teams across ChatGPT, Codex, model measurement, consumer experiences including ads, business subscriptions, developer products, and the shared infrastructure that connects them. These teams rely on Statsig to safely introduce new capabilities, compare product and model behavior, measure impact, and roll changes forward or back with confidence. We are at a defining moment in the platform journey. OpenAI has the data, product surface area, and pace of innovation to learn faster than almost any organization in the world, but that potential only becomes real if teams can experiment responsibly, measure clearly, and roll out changes s [... source excerpt omitted ...] and easy to use. About the Role We are looking for a full-stack engineer to help build the systems that make experimentation and rollout a first-class capability across OpenAI. You will work across frontend, backend, SDK, data, and infrastructure surfaces, with a focus on making complex workflows feel simple for the teams shipping OpenAI’s most important products. This role is not only about adding features to a platform. It is about shaping the operating system OpenAI uses to decide what to launch, how to learn from it, and how to protect users and products as we scale. OpenAI’s next phase depends on our ability to move quickly without losing rigor, and Statsig is one of the [... source excerpt omitted ...] y with teams building ChatGPT, Codex, model measurement workflows, consumer monetization and ads, business subscription experiences, developer products, and shared infrastructure. You will translate their launch and measurement needs into platform capabilities that can support the full company, not just one-off use cases. In This Role, You Will Build product experiences and platform capabilities for experimentation, feature flags, dynamic configuration, rollout safety, and analytics. Partner with product teams to understand launch workflows, measurement needs, and decision points, then turn those insights into durable platform features. Improve SDK and server-side systems so
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