Senior Staff Technical Program Manager

Crusoe•Sunnyvale, CA

About The Position

Crusoe's Cloud Product team is hiring a Senior Staff Technical Program Manager — a recognized technical and programmatic authority who owns outcomes across a portfolio of Crusoe's most strategically significant programs. This role requires a player-coach: personally hands-on when it matters, and equally effective at shaping how the TPM function operates, elevating other TPMs, and driving the organization from reactive to predictable across the full program portfolio. Our vision is the easiest-to-use AI purpose-built cloud. We offer IaaS products, letting AI/ML engineers focus on AI model frameworks (PyTorch, Ray) and compute stacks (CUDA, ROCm) while Crusoe manages the underlying complexity. Our platform standardizes firmware/OS bundles and automates component orchestration for consistent, scalable infrastructure. We also offer AI Managed Services, like SLA-bounded Managed Inference. The TPM connects engineering, product, procurement, and data center operations to deliver a reliable platform where customers run AI workloads without managing low-level system details. At this level, TPM engagement spans the full program portfolio: owning the introduction of new GPU generations, managing a series of IaaS products, and driving the highest-stakes company-level cross-functional programs. The Senior Staff TPM shapes how programs get executed at Crusoe — not just executing within existing frameworks but defining and evolving those frameworks as the company scales. The ideal candidate is a deeply technical, strategically influential leader who has operated at VP/SVP level at a hyperscaler or neocloud, shaped how engineering organizations deliver infrastructure programs, and brings a portfolio-level perspective to every decision.

Requirements

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.

Nice To Haves

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

Responsibilities

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.