OpenAI
Technical Program Manager, Core Network & WAN Infrastructure
San Francisco · Contract
Sponsorship not specifiedDetected 5 days ago
LogisticsResearchLeadershipCommunication
About the role
- This is a hands-on infrastructure execution role.
- This role is based in San Francisco, CA.
- We use a hybrid work model of 3 days in the office per week and offer relocation assistance.
Responsibilities
- Lead end-to-end delivery of OpenAI's WAN build-out and large-scale GPU clusters across an external partner ecosystem
- Drive multi-threaded network infrastructure bring-up programs across physical and logical readiness-owning plans, dependencies, and critical paths
- Partner with engineering to turn up large-scale network capacity, reducing bring-up time for our largest GPU supercomputers by working across optics, circuits
- Identify recurring bottlenecks in WAN and network infrastructure build-out, then drive fixes that make future builds faster, more predictable, and less dependent on tribal knowledge
- Manage integration and handoffs across teams and partners-ensuring consistent execution, clear communication, and fast issue resolution
- Identify bottlenecks and systemic gaps, then drive durable fixes across tooling, process, and partner interfaces
Requirements
- Possess a degree in a hard science, or have a demonstrated track record of engineering expertise.
- Have 5+ years of experience in program management for major projects including capital projects or hyperscaler infrastructure deployment.
- You might thrive in this role if you have:
- Demonstrate the ability to serve as the go-to person solely responsible for driving and delivering complex projects.
Company info
- The compute infrastructure team runs the GPU fleet and large-scale compute clusters that serve the models backing ChatGPT and the API, while also supporting training workloads for our next generation models.
- We operate a large, modern GPU fleet and provide a unified platform for other OpenAI teams to seamlessly run production Applied AI and Research training workloads.
- We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely.
- Safety is more important to us than unfettered growth.
This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.