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CrusoeCrusoeSan Francisco, CA

Staff Technical Program Manager, Deployments

Staff TPM owning end-to-end infrastructure deployments for new AI data center sites, expansions, and modular centers at Crusoe Cloud. Requires 10+ years TPM experience running hyperscaler/neocloud GPU deployment programs, deep GPU/firmware/networking knowledge, and ability to define frameworks from scratch while driving executive alignment.

200k – 240k/yr
On-site10+ YOETechnical Program Management

About the role

What You'll Be Working On

New Deployments

  • 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.
  • 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.
  • 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.

Technical Leadership

  • Owns real-time execution dashboards; delivers crisp, data-driven executive updates that surface decision elements without requiring follow-up.
  • Governs cross-organizational dependencies without waiting for escalation authority.

Organizational Influence and TPM Function Development

  • Coach more junior TPMs on technical depth, risk identification, and executive communication.
  • Actively drives AI tool integration across their programs; identifies where AI materially improves program tracking, risk detection, and executive communication.

What You'll Bring to the Team

Technical Foundation

  • 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.
  • Direct hardware partner engagement: personal ownership of NVIDIA or OEM certification and validation timelines, not coordination feeding into someone else's relationship.
  • Active daily use of AI tools to drive program-level outcomes: risk detection, dependency mapping, data analysis, and executive communication, not just personal productivity.

Program Leadership

  • 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.
  • 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.
  • 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.
  • Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders.

Bonus Points

  • Experience defining or substantially redesigning a commissioning gate framework for site deployments.
  • Experience coaching or developing more junior TPMs in technical depth and program execution.

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location

Compensation Range

Compensation will be paid in the range of $200,000 to $240,000. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

Skills

gpu architecturefirmware lifecycledocabios/bmccompute orchestrationsdnNetworkingleaf-spine topologyztpfabric commissioningMonitoringObservabilitynvidiaAI ToolsProgram Management
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