The opportunity
The Statsig team within OpenAI owns the experimentation, rollout, dynamic configuration, and analytics infrastructure that sits on the launch path for OpenAI products. Our systems help teams ship safely, evaluate product and model changes in production, and make high-confidence decisions from real-world usage.
What you'll do
Design and operate low-latency configuration delivery systems powering: feature flags, dynamic configs, and progressive rollouts across OpenAI product suites.
Scale SDK, server-side evaluation, and control-plane systems so high-volume: services can depend on Statsig without adding user-visible latency or operational fragility.
Build high-throughput data ingestion and analytics infrastructure for: experimentation, product analytics, feature performance monitoring, and model or product measurement workflows.
Improve performance, efficiency, reliability, and observability of core: Statsig infrastructure as OpenAI products scale globally.
Optimize query performance, data freshness, and data availability for teams: making launch decisions from experimentation and analytics workflows.
Strengthen operational excellence through better SLOs, alerting, debugging: tools, incident response, capacity planning, and failure-mode design.
What they're looking for
- Partner with teams across ChatGPT, Codex, model measurement, consumer ads,: business subscriptions, developer products, and infrastructure to turn recurring launch and measurement needs into durable platform capabilities.
- Lead large technical initiatives and shape the architecture of: experimentation and rollout infrastructure used across the company.
- Have experience building large-scale distributed systems with strict: performance, availability, and correctness requirements.
- Enjoy low-latency systems work, including real-time configuration delivery,: SDK/runtime performance, caching, concurrency, and high-throughput service design.
