Why This Job is Featured on The SaaS Jobs
This Head of Data Center Rack and Cluster role sits at the infrastructure layer that increasingly underpins modern SaaS, especially as AI capabilities become embedded into software products. Rather than focusing on application features, the remit is compute capacity definition and delivery, covering rack and cluster standards that determine how reliably large-scale systems can be built and operated.
For a SaaS career, the value is exposure to the practical constraints that shape product ambition: performance, cost, supply chain realities, and production readiness. Owning reference architectures and acceptance criteria builds a reusable toolkit for scaling compute-backed services, and working through validation to repeatable deployments mirrors the operational rigor required in high-availability SaaS environments. Vendor roadmap and partnership work also develops fluency in how platform decisions are negotiated across technical and commercial boundaries.
This position tends to suit an engineering leader who prefers end-to-end accountability, from early architectural tradeoffs to stable production handoff. It aligns with professionals who enjoy cross-functional coordination and who are motivated by measurable system outcomes, particularly those drawn to large deployments where standardization and reliability matter as much as innovation.
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 Industrial Compute team at OpenAI is responsible for all things compute capacity, from our partnership deals (i.e. stargate) through the delivery and operations of this capacity. The team is a fast-paced, dynamic team working on the cutting edge of capacity at scale, speed, quality, and cost, while enabling the best AI Frontier models and beyond.
About the Role
This role is responsible for leading the engineering team that defines the rack and system architectures underpinning the compute infrastructure enabling OpenAI’s frontier AI models. The role will oversee the early phases of compute definition from architectural definition through delivery of production-ready racks.
We are looking for an experienced engineering leader who understands how to navigate the technical and business tradeoffs required to build the world’s premiere AI infrastructure. Qualified candidates will have extensive hands-on experience in system bring up and a proven ability to bring platforms to a stable state ready for production use through lab and early test and deployment environments.
In this role, you will:
Own the reference rack, cluster, and system architecture standards for new OpenAI compute platforms.
Define readiness and acceptance criteria for production-bound systems.
Stay engaged through validation until configurations are proven repeatable and ready for handoff.
Manage relationships with accelerator and equipment vendors to define an overall roadmap
Partner across the industrial compute and partner teams to bring clarity to requirements and ensure smooth delivery of next-gen systems
Manage a team of engineering leads focused on the architectural and engineering work required to define, test and stabilize OpenAI’s future compute platforms.
You might thrive in this role if you:
Have hyperscale data center experience (or equivalent)
Have deep experience in rack, system, or network architecture definition
Can effectively leverage performance and TCO modeling and a deep understanding of business risks and requirements to guide complex and often ambiguous system tradeoffs.
Have experience overseeing delivery of complex new hardware platforms and can effectively shepherd systems from first delivery to production-ready state
Can manage vendor relationships to resolve rack and system issues in addition to shepherding vendor roadmaps to support OpenAI’s needs.
Have excellent management and leadership skills.
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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