7 months ago
Base Salary
$293k - $325k/yr
Responsibilities
- Design and operate low-latency configuration delivery systems for progressive rollouts across OpenAI products
- Build scalable data ingestion and analytics infrastructure for experimentation, product analytics, and feature performance monitoring
- Improve the performance, efficiency, and reliability of core infrastructure at global scale
- Optimize query performance and data availability for experimentation and analytics workflows
- Lead large technical initiatives and shape the architecture of experimentation and rollout infrastructure
Requirements
- Experience building large-scale distributed systems with strict performance and reliability requirements
- Experience solving low-latency systems problems, including real-time configuration delivery, high-throughput ingestion pipelines, or large-scale analytics systems
- Experience building and optimizing large-scale data platforms or event pipelines
- Strong focus on system reliability, observability, and operational excellence in production environments
- Ability to own complex technical problems end to end
Benefits
- Hybrid work model with 3 days per week in the Bellevue office
- Relocation assistance for new employees
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.