Staff Technical Program Manager, Managed Intelligence
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
Technologies
LLM inference · model serving · GPU · CUDA · ROCm · batching strategies · quantization · multi-tenant systems · SLA enforcement · AI tools
About Crusoe
Vertically integrated AI infrastructure company that develops energy, builds AI data centers, and runs GPU cloud and managed inference services for model builders and enterprises.
Series E
Job description
The full responsibilities and requirements are on the employer’s site.
Open application page ↗Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the 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 inferenc [... source excerpt omitted ...] ill 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 center operations to deliver a reliable, scalable inference platform. You will own end-to-end program delivery across multi-quarter roadmaps, model onboarding, inference optimization, and production readiness for new model versions. Deep familiarity with the model layer -- incl [... source excerpt omitted ...] gnment and push back effectively across engineering, product, and operations leadership -- including highly technical stakeholders who have not previously worked with a TPM. What You'll Bring to the Team: 7+ years of experience as a Technical Program Manager in fast-paced technical environments, with a track record of owning complex programs end-to-end across engineering and product organizations. LLM inference and model serving knowledge: Working familiarity with batching strategies, quantization approaches, and the tradeoffs that govern latency, throughput, and cost at production scale. Multi-tenant systems experience: Familiarity with isolation, quota management, and SLA
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