Crusoe
AI infrastructure
StaffTechnicalProgramManager,ManagedIntelligence
Neural analysis suggests this role is
optimal for Staff candidates.
“Staff Technical Program Manager, Managed Intelligence at Crusoe. Skills: End-to-end program delivery, Complex, high-risk program management, Cross-functional alignment, Proactive risk identification, Execution frameworks and dashboards, Phase 0 planning for model onboarding, Stakeholder leadership. End-to-end program delivery. Multi-quarter release planning”
What You'll Achieve.
Deliver a reliable, scalable inference platform; Advance their AI strategies; Keep programs on track and unblocked; Surface risks before they become program-level problems; Make execution models stick with teams
Industry & Context.
Problem-solving; Opportunity-finding; Proactive risk identification
What They're Looking For.
Must Have
7+ years of experience as a Technical Program Manager in fast-paced technical environments, LLM inference and model serving knowledge, Multi-tenant systems experience, Fine-tuning and alignment awareness, Low-structure execution, Executive communication, AI tool integration, Cross-functional influence
Nice to Have
1+ years of experience working with teams building platforms or services for AI inference and/or training, Direct experience governing model onboarding programs across GPU generations, including firmware, driver, and stack validation, Experience coaching or mentoring junior TPMs in a high-growth technical environment, Exposure to multi-site or globally distributed engineering teams, Background at a Series D to Series F company or a high-performing team within a hyperscaler focused on AI infrastructure
What You'll Do.
End-to-end program delivery
Multi-quarter release planning
Dependency governance
Executive communication
Model version rollouts
Inference optimization campaigns
SLA readiness for new GPU hardware
Multi-tenant capacity planning
Proactive risk identification
scalable TPM frameworks
Maintain real-time execution dashboards
data-driven executive updates
Pre-launch planning for model onboarding on new GPU generations
How You'll Work.
Team & Collaboration
Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers; Drive alignment and push back effectively across engineering, product, and operations leadership
Communication Scope
Executive communication; Written communication; Verbal communication; Data-driven updates; Decision-oriented updates
Process & Methodology
Multi-quarter roadmaps, Program delivery, Release planning, Dependency governance, Risk identification, Execution frameworks, Phase 0 planning
Full Job Description
Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About This Role: Crusoe is the world's first vertically integrated, sustainable AI cloud. We build and operate GPU infrastructure powered by clean energy, from data center design through IaaS products to managed inference at scale, enabling AI-native companies to run demanding workloads without compromising on sustainability or reliability. Crusoe Cloud is 1,400 people and growing, and the TPM frameworks are still being built -- which means there is a genuine opportunity to shape how the function operates rather than inherit how it already works. The Managed Inference platform is where customers run production LLM workloads without managing low-level infrastructure, and it is one of Crusoe's fastest-growing product areas. The Staff TPM for Managed Intelligence connects model engineering, IaaS, product, and data ce
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