About the role
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The TPM frameworks are still being built, which means there is a real opportunity to shape how the function operates rather than inherit how it already works
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We are hiring a Staff TPM who will own deployment programs. You will be helping us build out new sites, capacity expansion, or help deploy modular (Spark) data centers
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Our TPMs define and drive the entire deployment engagement model from chip vendor engagement through first customer cluster delivery
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Own the infrastructure deployment for new sites or site expansions end-to-end: chip vendor and OEM dependencies, architecture updates, cloud foundations work, commissioning gate framework definition, and first customer cluster delivery as the success metric
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Lead Deployment Phase 0 on the Cloud TPM side: define firmware version targets and DOCA targets before kickoff, set commissioning gate criteria, and define the DRI matrix
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Manage compounding cross-SKU dependencies where active production programs (e.g. B200/GB300/VR) are running in parallel with capacity expansion projects, and prevent them from competing for the same Engineering pool without a plan
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Owns real-time execution dashboards; delivers crisp, data-driven executive updates that surface decision elements without requiring follow-up
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Governs cross-organizational dependencies without waiting for escalation authority
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Coach more junior TPMs on technical depth, risk identification, and executive communication
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Actively drives AI tool integration across their programs; identifies where AI materially improves program tracking, risk detection, and executive communication
Benefits
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Health & wellbeing: Comprehensive health benefits designed to support your overall wellness
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Time away: Paid time off for vacations, family bonding, and unexpected needs
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401(k) match: Build your financial future with our 401(k) matching program
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Mental wellness: Resources and support for your emotional wellbeing and navigating life’s challenges
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If you have spent your career running infrastructure deployment programs at a hyperscaler or a leading neocloud, understand GPU architecture, and have shaped deployment frameworks rather than just operated within them, this is the role for you
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Deep, working fluency with GPU architecture across SKU generations, firmware lifecycle (DOCA, driver stacks, BIOS/BMC), compute orchestration, SDN, storage, networking (leaf-spine topology, ZTP, fabric commissioning), and monitoring/observability
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10+ years as a Technical Program Manager with a track record of owning infrastructure deployment programs end-to-end at a hyperscaler, GPU cloud provider, or AI infrastructure company, ideally with direct experience in large-scale capacity expansion projects
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Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders
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Active daily use of AI tools to drive program-level outcomes: risk detection, dependency mapping, data analysis, and executive communication, not just personal productivity
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Track record of driving cross-organizational alignment at VP/SVP level without formal authority, including building durable alignment on programs that fall in the cracks between teams
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Direct hardware partner engagement: personal ownership of NVIDIA or OEM certification and validation timelines, not coordination feeding into someone else’s relationship
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Proven ability to define deployment engagement models from scratch, not just operate within existing frameworks, and make them stick across engineering organizations that didn’t ask for them
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Experience defining or substantially redesigning a commissioning gate framework for site deployments
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Experience coaching or developing more junior TPMs in technical depth and program execution
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