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GPU Infrastructure Deployment Program Manager
Orion Placement. Own program management for multiple concurrent GPU cluster deployments from contract signature through customer go-live .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in program management for GPU cluster deployments, with a strong focus on coordinating complex infrastructure projects and managing vendor dependencies. Proficient in risk management, project reporting, and maintaining alignment across multiple workstreams to ensure timely go-live outcomes.
Highest-signal resume keywords
Program ManagementGPU Cluster DeploymentRisk ManagementProject ReportingData Center Readiness
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Project ManagementGPU Cluster ArchitectureInfrastructure DeploymentDependency ManagementAcceptance Testing
Soft Skills
Excellent CommunicationStakeholder Management
Tools & Technologies
SmartsheetMS ProjectJiraConfluenceAsana
Certifications & Qualifications
PMP Certification
Industry Keywords
Data CenterTelecomLarge-Scale Technology DeploymentsOEM ManufacturersHyperscaler
Tech Stack
Tools & technologiesPMP
About the role
Key responsibilities & impact- Own program management for multiple concurrent GPU cluster deployments from contract signature through customer go-live
- Build and maintain detailed, dependency-aware project plans covering all deployment workstreams
- Track OEM hardware manufacturing, shipment, delivery, installation, and provisioning timelines
- Coordinate data center readiness, build-out, power, cooling, rack installation, and facility dependencies
- Manage network and connectivity dependencies, including coordination with network service providers
- Maintain visibility into project status, critical paths, risks, bottlenecks, dependencies, and mitigation plans across simultaneous deployments
- Proactively identify issues before they impact deployment schedules or budgets and coordinate escalation
- Coordinate with OEM manufacturers, data center operators, network and connectivity providers, MSPs, and other external partners
- Partner with GPU cluster architecture, data center operations, procurement, supply chain, and deployment teams
- Produce progress reporting for enterprise clients and translate technical project status into go-live planning information
- Prepare executive and Board-level reporting on deployment status, risks, dependencies, schedule impacts, and financial considerations
- Maintain fluency across data center readiness, hardware delivery and installation, network turn-up, provisioning, and acceptance testing
- Identify schedule risks, missing dependencies, and potential bottlenecks early
- Ensure deployment workstreams remain aligned and drive predictable contract-to-go-live timelines
Requirements
What you’ll need- 7+ years of program or project management experience supporting data center, infrastructure, telecom, or large-scale technology deployments
- Direct experience managing GPU cluster deployments from planning through implementation or go-live
- Demonstrated experience managing multiple concurrent, complex infrastructure projects
- Strong understanding of GPU cluster architecture and the end-to-end 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 experience with risk, issue, dependency, and critical-path management
- Experience producing reporting for enterprise clients and executive or Board-level stakeholders
- Strong proficiency with complex project management tools such as Smartsheet, MS Project, Jira, Confluence, Asana, or similar platforms
- Excellent communication skills and ability to work credibly with technical, operational, executive, and customer stakeholders
- Must be a US citizen
- PMP certification or equivalent is preferred
- Experience with a neocloud, hyperscaler, GPU infrastructure provider, or similar large-scale compute environment is strongly preferred
- Familiarity with NVIDIA Reference Architecture and cluster acceptance testing standards is a plus
- Genuine fluency in the GPU cluster deployment lifecycle
Benefits
Comp & perks- Competitive bonus and equity opportunity in addition to base compensation
- Competitive base compensation plus bonus and equity
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
- Retirement plan
- Vision insurance
- Remote work flexibility