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Volta is a vertically integrated AI infrastructure platform building the compute utility layer for the AI era. Backed by a $10B strategic partnership with a leading frontier AI lab, Series A funding from Andreessen Horowitz, and a $5B AI Infrastructure Fund, the company is scaling rapidly from 100+ employees across London, Palo Alto, and New York.
As Group Technical Program Manager for GPU and Data Center Deployments, you will own end-to-end program delivery for bringing data center infrastructure and AI clusters online. This is an ownership role requiring you to move programs forward with incomplete information, surface and resolve gaps before they become blockers, and hold multiple workstreams accountable across time zones and organizational boundaries.
Key responsibilities include:
- Own end-to-end delivery of GPU cluster activations and data center infrastructure programs from strategic planning through operational handoff
- Drive multi-threaded bring-up programs spanning hardware, networking, power, and cooling, managing plans, dependencies, and critical paths
- Coordinate cross-functional teams across construction, infrastructure, network, hardware, ICT, commissioning, and operations, including vendor and contractor partners
- Anticipate downstream impacts of technical sequencing decisions on capacity, schedule, and cluster performance; identify and resolve blockers proactively
- Manage vendor, integration contractor, and third-party service provider relationships across the full deployment lifecycle
- Partner with engineering to improve cluster turn-up reliability, repeatability, and automation
- Support network operations and end-to-end physical and logical bring-up, including on-site deployment and rack cabling coordination
- Deliver crisp executive-level program status briefings covering schedule health, risks, key decisions, and escalation paths
- Translate complex technical requirements from customer RFPs, integration specs, and architecture documents into actionable plans
- Serve as primary cross-functional point of contact between engineering, operations, customers, and leadership
- Build and operationalize program mechanisms including roadmaps, milestones, risk registers, RACI matrices, and deployment runbooks
- Establish single source of truth for active programs using tools like Smartsheet, Confluence, Jira, and Notion
- Develop scalable playbooks and governance frameworks that create accountability without overhead
Required qualifications:
- 5+ years delivering complex data center physical infrastructure programs or large-scale GPU/AI cluster deployments in fast-moving environments
- Demonstrated experience bridging construction handover and cluster deployment (network-only or construction-only candidates are not a fit)
- Hands-on GPU deployment experience including NVIDIA infrastructure, full-stack secure AI factory deployment across compute, networking, storage, and security layers
- Ability to read, interpret, and operationalize highly technical customer and vendor specifications
- Strong understanding of AI/GPU infrastructure including power density, cooling (CDU/DLC), networking, and deployment sequencing
- Familiarity with how construction, low-voltage, and commissioning activities affect deployment readiness and sequencing
- Proven ability to lead through influence without direct authority over execution teams
- Proven ability to manage vendor and contractor relationships, understanding schedule and reputational risks
- Ability to develop and present executive-level program status, risk summaries, and key decisions to senior leadership
- Excellent communication and stakeholder alignment skills across technical and business audiences
