Staff Technical Program Manager, Infrastructure

Our client develops advanced hardware platforms for deep learning, data analytics, and data center power, addressing the growing demand for scalable, high-performance AI infrastructure. They collaborate with OEM partners to deploy rack-scale AI platforms globally, supporting some of the world’s largest and fastest data centers and supercomputing environments.

About the Role

The Technical Program Manager, New Product Deployment Readiness leads deployment readiness for new rack-scale AI platforms from engineering samples through volume rollout with OEM partners. This role coordinates engineering, product, manufacturing, and support teams internally and externally to ensure platforms are prepared for large-scale production and deployment. The position is critical to maintaining platform integrity, establishing scalable readiness processes, and enabling successful mass deployment across multiple sites and partners.

Responsibilities

• Own end-to-end deployment readiness for rack-scale platforms through OEM partners, including tooling, processes, documentation, and lessons learned.
• Align internal and OEM teams around unified readiness plans, schedules, milestones, and completion criteria.
• Manage readiness status for hardware, software, firmware, tooling, and operational processes across multiple platforms and OEM programs.
• Lead communication and coordination with OEM partners regarding planning, factory readiness, deployment schedules, and execution activities.
• Define scalable models for bring-up, validation, and acceptance across racks, sites, and deployment partners.
• Drive automation initiatives that improve validation, deployment, and readiness processes.
• Establish and enforce quality assurance processes to ensure deliverables meet specifications at deployment scale.
• Manage issue escalation, root-cause analysis, and feedback loops to prevent recurring issues across future platforms and OEM deployments.
• Track risks, dependencies, and readiness gaps and drive timely resolution across cross-functional teams.
• Drive continuous improvement initiatives focused on automation, tooling, quality, and deployment execution efficiency.

Requirements

• Bachelor’s degree in Electrical Engineering, Computer Science, Information Technology, or a related field, or equivalent practical experience.
• Minimum 8 years of experience in enterprise or hyperscale data centers, preferably involving high-density AI or HPC environments.
• Proven experience managing large-scale data center hardware deployments or infrastructure planning across multi-rack and multi-site environments.
• Experience collaborating with OEM, ODM, or system integrator partners across engineering, manufacturing, and services organizations.
• Demonstrated technical and program leadership experience in dynamic, cross-organizational environments.
• Working knowledge of data center infrastructure, including power, cooling, cabling, network provisioning, rack integration, and system validation.
• Strong analytical, problem-solving, risk management, and decision-making skills with a strong focus on quality.
• Excellent communication and interpersonal skills for working with engineers, executives, OEM partners, and other stakeholders.
• Strong organizational and time-management skills with the ability to manage multiple programs and priorities.
• Willingness to travel up to 35% to OEM factories, integration sites, and deployment locations.

Pay

• Level 4: Base salary range of $168,000–$258,750 USD.
• Level 5: Base salary range of $200,000–$322,000 USD.

Eligibility for equity and comprehensive benefits.