Why This Job is Featured on The SaaS Jobs
This Technical Program Manager role sits at the infrastructure layer that increasingly differentiates AI-centric SaaS products: reliable, scalable compute. Rather than focusing on application features, the work is about turning GPU capacity into a dependable internal platform that other teams can consume for production and training workloads, a core constraint for any SaaS offering built on large models and APIs.
From a SaaS career standpoint, the position builds fluency in the operational mechanics that underpin product delivery at scale: capacity planning, multi-provider execution, and the translation of engineering realities into predictable timelines. The emphasis on program mechanisms such as roadmaps, risk registers, and runbooks maps directly to how mature SaaS organizations reduce variance and improve reliability as usage grows. Experience coordinating across engineering, security, finance, and external partners also transfers well to platform, SRE-adjacent, and technical operations paths across the SaaS ecosystem.
This role is best suited to program leaders who prefer deeply technical domains and enjoy owning complex dependency networks where hardware, networking, and vendor interfaces intersect. It will fit professionals who are comfortable providing leadership-level visibility while staying close to engineering details, and who want their program management scope to be tied to measurable service readiness rather than feature throughput.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
About the Team
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.
About the Role
You will be part of an engineer-first TPM team as a Technical Program Manager for Compute Infrastructure who owns the end-to-end delivery of large-scale GPU clusters, partnering with engineers to bring clusters online across external providers and partners. You’ll run a broad, parallel portfolio spanning hardware, networking, power, and cooling—driving execution, risk management, and crisp alignment from working teams through leadership to deliver production-ready capacity at 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 to new employees.
In this role, you will:
Lead end-to-end delivery of both New Compute SKUs and large-scale GPU clusters across an external partner ecosystem while supporting capacity planning for training and inference.
Ability to contextually drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling—owning plans, dependencies, and critical paths.
Interface with chip providers to derisk long-term onboarding to new hardware platforms by working across kernels, comms, hardware, and scheduling engineering teams.
Build and operationalize program mechanisms (roadmaps, milestones, risk registers, runbooks) that make delivery predictable at massive scale.
Partner with engineering to improve cluster turn-up reliability, repeatability, and automation, reducing time-to-serve for new capacity.
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.
You might thrive in this role if you:
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.
Demonstrate the ability to serve as the go-to person solely responsible for driving and delivering complex projects.
Are comfortable managing cross-functional and cross-company teams; experience driving information and decision hygiene.
Have an extensive track record of successfully delivering high-profile, technical projects against tight deadlines.
Are technically adept and have effectively partnered with engineering or fundamental research teams of the highest caliber.
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.
Are relentlessly resourceful and thrive in ambiguous, fast-paced environments.
Are interested in and thoughtful about the impacts of AGI.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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