GPU Infrastructure Deployment Program Manager

Accountabilities

You will own program management across multiple GPU cluster deployments, ensuring that all technical, operational, and external workstreams remain aligned and that projects reach customer go-live on schedule. Your responsibilities will include:

• Program Planning and Execution:

  • Lead multiple concurrent GPU cluster deployment programs from contract signature through customer go-live.

  • Develop and maintain detailed, dependency-aware project plans covering all deployment workstreams.

  • Establish and monitor project milestones, critical paths, schedules, dependencies, and delivery priorities.

  • Ensure deployment activities remain coordinated and aligned with contractual commitments and customer timelines.

  • Drive predictable execution across the full deployment lifecycle, from initial planning to final acceptance.

  • Infrastructure and Vendor Coordination:

    • Track OEM hardware manufacturing, shipment, delivery, installation, and provisioning schedules.

    • Coordinate data center readiness, including facility build-out, power, cooling, rack installation, and other infrastructure requirements.

    • Manage network and connectivity dependencies in collaboration with network service providers.

    • Coordinate directly with OEM manufacturers, data center operators, network and connectivity providers, managed service providers, and other external partners.

    • Work closely with GPU cluster architecture, data center operations, procurement, supply chain, and deployment teams.

    • Maintain working oversight of hardware installation, network turn-up, provisioning, and acceptance testing activities.

    • Risk Management and Performance Monitoring:

      • Maintain visibility into project status, critical paths, risks, bottlenecks, dependencies, and mitigation plans across simultaneous deployments.

      • Identify potential issues early and coordinate corrective actions before they affect schedules or budgets.

      • Manage risks, issues, escalations, and cross-functional dependencies throughout the deployment lifecycle.

      • Ask informed technical questions to identify missing requirements, schedule risks, and potential delivery constraints.

      • Stakeholder Communication and Reporting:

        • Provide enterprise customers with clear progress updates, translating technical project status into meaningful go-live planning information.

        • Prepare executive and Board-level reports covering deployment progress, risks, dependencies, schedule impacts, and financial considerations.

        • Maintain effective communication across technical, operational, commercial, and executive stakeholders.

        • Support the development of repeatable deployment processes as the organization expands its infrastructure operations.

        Requirements:

        The ideal candidate has substantial program management experience in complex infrastructure environments and direct, hands-on exposure to GPU cluster deployments. They should combine technical understanding with strong planning, risk management, and stakeholder communication capabilities. Key qualifications include:

        • At least seven years of program or project management experience supporting data centers, infrastructure, telecommunications, or large-scale technology deployments.

        • Direct experience managing GPU cluster deployments from planning through implementation or customer go-live.

        • Demonstrated ability to manage multiple complex infrastructure projects simultaneously.

        • Strong understanding of GPU cluster architecture and the complete deployment lifecycle.

        • Experience coordinating data center readiness, hardware delivery and installation, network turn-up, vendor dependencies, and acceptance testing.

        • Experience working directly with OEM manufacturers, data center operators, and network or connectivity providers.

        • Strong expertise in risk, issue, dependency, and critical-path management.

        • Experience preparing project reports for enterprise customers and executive or Board-level stakeholders.

        • Proficiency with project management platforms such as Smartsheet, Microsoft Project, Jira, Confluence, Asana, or equivalent tools.

        • Excellent communication and organizational skills, with the ability to work effectively with technical specialists, operational teams, executives, and customers.

        • Ability to understand the technical aspects of GPU infrastructure deployments and identify potential bottlenecks through informed discussions with engineering teams.

        • Must be a U.S. citizen.

        • PMP certification or equivalent project management qualification is preferred.

        • Experience in a neocloud, hyperscaler, GPU infrastructure provider, or comparable large-scale compute environment is strongly preferred.

        • Familiarity with NVIDIA Reference Architecture and GPU cluster acceptance testing standards is an advantage.

        Important: Direct GPU cluster deployment experience is essential. General project management experience without hands-on exposure to the GPU cluster deployment lifecycle will not meet the role's requirements.

        Benefits:

        • Annual base salary range of $120,000–$200,000.

        • Competitive performance-based bonus opportunity.

        • Equity opportunity.

        • Health insurance.

        • Dental insurance.

        • Vision insurance.

        • Life insurance.

        • Paid time off.

        • Retirement plan.

        • Remote work flexibility from anywhere in the United States.

        • Opportunities to work on advanced GPU and AI infrastructure deployments.

        • Direct collaboration with specialists across GPU architecture, data centers, networking, and supply chain.

        • Exposure to executive leadership and strategic business decisions.

        • Opportunities to develop expertise across the full GPU cluster deployment lifecycle.

        • Opportunity to help establish scalable deployment processes in a growing organization.