OpenAI

Technical Program Manager, Core Network & WAN Infrastructure

Full-time · San Francisco (Remote)
✓ Verified live on the employer's own system · added 25 days ago
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Mid-level · 5+ yrs exp

Requirements

Education: Bachelor's degree

Experience: 5+ years

Skills & tools

Rest ApisTeam LeadershipSecurityOperationsCommunicationsLogistics

Benefits — mentioned in this posting

Remote / flexibleRelocation
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Full job description

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.

You will join an engineer-first TPM team and own end-to-end delivery of OpenAI's WAN Infrastructure, partnering with engineers to bring clusters online across external providers and partners.

This is a hands-on infrastructure execution role. You'll run a broad, parallel portfolio spanning hardware, cabling, optics, cloud cross-connects, and port maps-driving execution, risk management, and crisp alignment from working teams through leadership to deliver production-ready capacity at scale.

The right person combines enough technical depth to reason through physical and logical network readiness with the program discipline and ownership to keep complex builds moving and improve how we scale.

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.

- 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

- Coordinate cross-functional readiness (security, finance, operations, product/research stakeholders) to ship production-ready compute

- 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

- Provide crisp executive visibility on progress, tradeoffs, and risks across a large portfolio of concurrent programs

- 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.

- Are relentlessly resourceful and thrive in ambiguous, fast-paced environments

- Demonstrate the ability to serve as the go-to person solely responsible for driving and delivering complex projects.

- Strong technical intuition across physical networking, WAN/backbone infrastructure, colocation environments, cloud interconnects, cross-connects, optics, cabling, routing, and operational readiness.

- Have experience interfacing with and leading external vendors including engineering firms, equipment suppliers, and/or construction firms.

- Have expertise in designing and implementing simple, scalable processes that solve complex problems.

- Have experience managing complicated dependencies such as logistics and/or supply chains.

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This posting was published by OpenAI on their own careers system and is shown here with a direct link to apply there. Employers: for corrections or removal, contact jobs@veritahire.com.