SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
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+ people across London, Palo Alto, and New York.
As a Senior Technical Program Manager, you will own end-to-end delivery of GPU cluster activations and data center infrastructure programs. 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: driving multi-threaded bring-up programs spanning hardware, networking, power, and cooling from planning through operational handoff; coordinating cross-functional teams across construction, infrastructure, network, hardware, ICT, commissioning, and operations; anticipating downstream impacts of technical sequencing decisions; managing vendor and contractor relationships; partnering with engineering to improve cluster turn-up reliability and automation; delivering executive-level program status briefings covering schedule health, risks, and escalation paths; translating complex technical requirements into actionable plans for engineering, finance, and marketing stakeholders; and building scalable program infrastructure including roadmaps, risk registers, RACI matrices, and deployment runbooks.
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 and full-stack secure AI factory deployment; ability to read 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; proven ability to lead through influence without owning execution teams; vendor and contractor relationship management experience; and ability to develop and present executive-level program status and risk summaries to senior leadership.
