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CrusoeCrusoeSan Francisco, CA

Senior Staff Technical Program Manager

Owns portfolio of AI cloud IaaS products and GPU generation introductions, driving cross-functional execution from engineering to operations. Requires 12-18 years TPM experience at hyperscalers, deep GPU/infra expertise, and strategic influence without authority.

Salary not listed
On-site12+ YOETechnical Program Management

About the role

What You'll Be Working On

Portfolio-Level Program Ownership

  • Own a series of IaaS products or a defined section of the product portfolio — managing sequencing, resource allocation, and cross-product dependencies across multiple simultaneous releases. Ensure coherence across the portfolio, not just delivery of individual programs.

GPU Generation Ownership

  • Own the introduction of a new GPU generation — spanning multiple SKUs, architectural transitions affecting networking, storage, and cloud foundations, and the operational and commercial readiness required to serve customers reliably at scale. Manage compounding dependencies between new-generation NPI work and active production deployment programs running in parallel.

Highly Cross-Functional Program Leadership

  • Drive company-level cross-functional programs — proactively identifying the highest-risk areas before they become visible to leadership, helping teams design mitigation plans ahead of issues, and maintaining forward-looking situational awareness across organizational boundaries.

NPI Framework Evolution

  • Define and evolve the commissioning gate framework and NPI/NTI engagement model as Crusoe's deployment scale and product complexity grow. Anticipate specialist pool conflicts between NPI programs and active production deployments.

Capacity & Investment Planning

  • Own portfolio-level capacity planning — TPM bandwidth allocation, specialist pool management, escalation paths, and operating cadences (MBRs, QBRs, OKRs). Ensure high-priority programs are adequately resourced before they become critical path risks.

Coaching & Elevation

  • Mentor and develop Staff and Senior TPMs. Raise the technical depth and execution standard across the TPM function. Define what good looks like and build toward it systematically.

AI-Native Program Leadership

  • Set the standard for AI tool integration across the TPM team — identifying where AI materially changes program tracking, risk detection, and executive communication, and driving adoption across the organization.

What You'll Bring to the Team

Portfolio-Level Technical Fluency

  • Current, accurate mental model of the AI IaaS and Managed Services stack across all active programs — GPU SKU generations, firmware lifecycle states, SDN and storage architecture, cluster topology, and the commissioning maturity of each active deployment. Understands how technical decisions at the infrastructure layer cascade into customer SLA commitments and revenue impact.

GPU Generation Expertise

  • Has personally owned the introduction of a new GPU generation or equivalent large-scale platform transition at a hyperscaler or neocloud — spanning vendor relationships, architectural updates, cloud foundations work, and first customer delivery at scale.

Experience at Hyperscalers or Neoclouds

  • 12–18 years of experience as a Technical Program Manager, with significant tenure in senior IC roles at hyperscalers (AWS, Azure, Google, Meta, OCI) or neoclouds (CoreWeave, Lambda Labs). Must have operated at the VP/SVP stakeholder level and shaped how engineering organizations execute infrastructure programs — not just driven individual programs.

NPI Framework Design

  • Has defined or significantly evolved NPI engagement models, commissioning gate frameworks, or program execution standards adopted across a large engineering organization. Brings opinions about what's broken in how hyperscalers run GPU NPI and what a better model looks like.

AI Tool Leadership

  • Defines how AI fundamentally changes the TPM craft — not just personal tooling adoption but how AI reshapes risk detection, program tracking, executive communication, and the skills required across the TPM team.

Strategic Influence

  • Proven ability to shape VP/SVP-level investment decisions, frame infrastructure tradeoffs in business terms, and drive alignment across organizational boundaries without formal authority.

Executive Communication

  • Exceptional ability to synthesize complex, multi-program technical realities into crisp, decision-ready executive narratives. Delivers updates that surface the right decision elements without requiring follow-up.

Bonus Points

  • Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field
  • Engineering background — hardware engineering, systems engineering, silicon validation, or firmware — that provides genuine below-the-OS technical credibility
  • Experience introducing a new chip vendor or GPU generation at fleet scale
  • Experience building TPM organizations or functions from early stage at a hyperscaler or hyper-growth company

Skills

PyTorchRayCUDARocmGPUSdnIaasNpiAI InfrastructureFirmwareKubernetesCloud Platforms
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