# Staff Technical Program Manager, Deployments

**Company:** [Crusoe](https://hotfix.jobs/companies/crusoe)
**Location:** San Francisco, CA, Sunnyvale, CA, Seattle, WA
**Role:** Technical Program Management
**Salary:** $200k – $240k/yr
**Experience:** 10+ years
**Skills:** gpu architecture, firmware lifecycle, doca, bios/bmc, compute orchestration, sdn, Networking, leaf-spine topology, ztp, fabric commissioning, Monitoring, Observability, nvidia, AI Tools, Program Management
**Posted:** 2026-07-21

> 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.

## Job Description

## 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.

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