--- title: 'Staff Technical Program Manager at Crusoe' canonical: 'https://feeny.ai/job/staff-technical-program-manager-crusoe-tel-aviv-8wgne5p8d33y' type: 'job' last_seen: '2026-09-11' --- # Staff Technical Program Manager at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** Tel Aviv, Israel - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-06-17 - **Last confirmed live:** 2026-09-11 - **Apply:** https://jobs.ashbyhq.com/Crusoe/e2b175b1-71ad-4e91-952d-a2e9d913098c/application **Skills:** Technical Program Management, LLM inference, Model serving, Batching strategies, Quantization, Multi-tenant systems, Isolation, Quota management, SLA enforcement, Fine-tuning, Alignment workflows, AI tools, GPU infrastructure, Firmware validation, Driver validation, Stack validation > Crusoe seeks a Staff Technical Program Manager to lead end-to-end program delivery for its Managed Inference platform. The role involves coordinating across model engineering, IaaS, and data center operations to deliver scalable, reliable AI infrastructure while building execution frameworks in a high-growth environ... ## 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 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 -- including how LLMs are served, optimized, and evaluated in production -- is essential to being effective in this role. What You'll Be Working On: - End-to-end program delivery: Own multi-quarter release planning, dependency governance, and executive communication across the Managed Inference platform. - Complex, high-risk program management: Drive model version rollouts, inference optimization campaigns, SLA readiness for new GPU hardware, and multi-tenant capacity planning from kickoff through delivery. - Cross-functional alignment: Coordinate across Model Engineering, IaaS, Cloud Foundations, Data Center Operations, and external model providers to keep programs on track and unblocked. - Proactive risk identification: Surface risks across model serving, reliability, capacity constraints, and vendor timelines before they become program-level problems. - Execution frameworks and dashboards: Build lightweight, scalable TPM frameworks suited to Crusoe's pace; maintain real-time execution dashboards and deliver crisp, data-driven executive updates. - Phase 0 planning for model onboarding: Own pre-launch planning for model onboarding on new GPU generations, including firmware and driver readiness, CUDA and ROCm stack validation, and commissioning criteria for inference workloads. - Stakeholder leadership: Drive alignment 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 enforcement across concurrent workloads. - Fine-tuning and alignment awareness: Sufficient familiarity with fine-tuning and alignment workflows to govern program timelines, identify technical risks, and coordinate across the teams that own them. - Low-structure execution: Proven ability to build execution models in environments where the process did not yet exist, and make them stick with teams that didn't ask for them. - Executive communication: Exceptional written and verbal communication for delivering clear, data-driven, decision-oriented updates to executive stakeholders. - AI tool integration: Active, daily use of AI tools to improve program execution, risk detection, and communication -- not just personal productivity. - Cross-functional influence: Proven ability to drive alignment across engineering, product, and infrastructure leadership without direct authority, including with highly technical stakeholders. Bonus Points: - 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. Benefits: Crusoe also offers a competitive benefits package designed to support financial security, health, and overall well-being. Our benefits are tailored to local market standards and include core offerings such as pension contributions and additional perks to support work-life balance. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. ## About Crusoe ## Company Overview - **One-liner**: Crusoe is an energy-first AI infrastructure company that designs, builds, and operates hyperscale data centers and a cloud platform purpose-built for artificial intelligence workloads. - **Entity Type**: Private (Series E) - **Headquarters**: Denver, Colorado, USA - **Founded**: 2018 - **Founders**: Chase Lochmiller and Cully Cavness ## Core Business - Primary industry/industries: AI Infrastructure, Cloud Computing, Data Centers, Clean Energy - Target customers: Enterprise AI companies, AI-native startups, research institutions, government agencies (B2B) - **Mission**: "Accelerate the abundance of energy and intelligence." ## Products & Services - **Crusoe Cloud**: An AI-optimized cloud platform purpose-built for AI workloads, featuring high-performance NVIDIA and AMD compute, accelerated storage, and optimized RDMA networking. Claims to deploy models up to 20x faster and cut costs by up to 81%. - **Crusoe Managed Inference**: A managed AI inference service built with Crusoe's proprietary MemoryAlloy technology, offering best-in-class speed, throughput, and reliability. Features the Crusoe Intelligence Foundry for model selection and API key management. - **AI Data Center Infrastructure**: Vertically integrated design, build, and operation of hyperscale AI factories (e.g., the 1.2 GW Stargate campus in Abilene, TX). Modular, scalable construction for power-hungry AI workloads. - **Crusoe Managed Kubernetes & Slurm**: Managed orchestration services that eliminate operational overhead for customers. - **Crusoe AutoClusters**: Fault-tolerant, managed cluster services for large-scale AI training. ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company). - **Key Metric**: Raised over $1.8B+ in total funding (Series E in 2024 was $1B+; Series D in 2024 was $600M; Series C in 2021 was $350M). - **Notable Investors/Partners**: NVIDIA, NYDIG, GE Vernova, Redwood Materials, Tallgrass, AMD. The company has also partnered with leading energy and technology firms to power its data centers. - **Growth Signals**: Divested bitcoin mining business to NYDIG in 2023 to focus exclusively on AI infrastructure; broke ground on the 1.2 GW Stargate campus in Abilene, TX; expanded into Europe with a geothermal/hydro-powered deployment in Iceland; announced 1.8 GW Wyoming data center with Tallgrass; acquired GPU memory optimization startup Atero and established a Tel Aviv office. ## Competitive Advantages - **Energy-First Approach**: The company’s core differentiator is its vertical integration starting from energy sourcing. It uses "environmentally aligned power sources" (wind, solar, hydropower, geothermal, natural gas with carbon capture) to power its AI factories, including pioneering technology to convert wasted natural gas into energy. - **Vertical Integration**: Controls the entire stack—from finding innovative energy sources to building and managing hyperscale data centers and operating the cloud platform. - **NVIDIA Partnership**: Close partnership with NVIDIA, providing access to the latest and highest-performance GPU hardware for its cloud and infrastructure. - **Proven Performance**: Claims 99.98% uptime, 100% customer satisfaction score, and significant cost/performance advantages (up to 81% cost reduction). ## Strategic Focus - **Massive Infrastructure Expansion**: Aggressively scaling its data center footprint, with major projects in Abilene, Texas (Stargate) and Wyoming (Tallgrass), and expansion into Europe. - **Deepening AI Cloud**: Continuing to build out its Crusoe Cloud platform with managed services (Kubernetes, Slurm, AutoClusters) to make it easier for AI companies to use their infrastructure. - **Responsible AI**: Emphasizing sustainability and responsible AI governance, as evidenced by achieving ISO 42001 certification and publishing an ESG report. - **Acquisition-led Growth**: Acquired Atero (GPU memory optimization) to enhance its core technology stack. ## Why Work Here - **Mission-Driven**: The company is united by a tangible mission: "Accelerate the abundance of energy and intelligence." Employees report high levels of engagement (92% proud to work there per internal survey). - **Massive Growth Trajectory**: Crusoe is at the center of the AI infrastructure boom, building some of the world's most powerful AI factories. For job seekers, this means exposure to cutting-edge technology and the opportunity to scale a company from a startup to an industry leader. - **Culture**: The company values "moving fast and making things," continuous learning, and collective genius. It describes itself as an "AI factory company" that values velocity and impact. - **Work Policy**: Hybrid/Office presence required in most roles. Office locations include: Denver (HQ), San Francisco, Sunnyvale, Bellevue, Tulsa, Dublin (Ireland), and Tel Aviv (Israel). - **Benefits**: Competitive compensation & equity, comprehensive health & wellness, mental health resources, retirement plans, paid time off, leave of absence programs, learning & development, volunteer time off, daily meals allowance, and other location-specific perks. - **Engineering Culture**: Strong emphasis on technical excellence, working with large-scale systems, and pioneering new approaches to energy and infrastructure. The company values candidates' "AI fluency" in its hiring process. ## Sources 1. [crusoe.ai](https://www.crusoe.ai/) 2. [crusoe.ai/careers](https://www.crusoe.ai/about/careers) 3. [crusoe.ai/about/culture](https://www.crusoe.ai/about/careers/culture) 4. [crusoe.ai/about/company](https://www.crusoe.ai/about/company) ## Other roles at Crusoe - [Vice President, Information Technology](https://feeny.ai/job/vice-president-information-technology-crusoe-san-francisco-f3vrrtk5yffx) — San Francisco, CA / United States - [Associate Construction Engineer - Power Infrastructure](https://feeny.ai/job/associate-construction-engineer-power-infrastructure-crusoe-denver-t7twn5hnxss8) — Denver, CO / United States - [Senior Software Engineer, Data Platform](https://feeny.ai/job/senior-software-engineer-data-platform-crusoe-san-francisco-exbgj0xgczrk) — San Francisco, CA / United States - [Head of Internal Audit](https://feeny.ai/job/head-of-internal-audit-crusoe-san-francisco-1xcybe9drby4) — San Francisco, CA / United States - [Vice President, Product Management, Managed AI](https://feeny.ai/job/vice-president-product-management-managed-ai-crusoe-san-francisco-cz9enxmhbgpk) — San Francisco, CA / United States - [Logistics and Inventory Manager](https://feeny.ai/job/logistics-and-inventory-manager-crusoe-reykjanesbaer-91vdr925h1m4) — Reykjanesbaer, Iceland - [Senior Facilities Engineer](https://feeny.ai/job/senior-facilities-engineer-crusoe-sparks-hvr5yw0t8n6a) — Sparks, NV / United States - [Learning & Development Specialist](https://feeny.ai/job/learning-development-specialist-crusoe-brighton-xa5tf3zx69r7) — Brighton, CO / United States - [Senior Analyst, Business Health Finance](https://feeny.ai/job/senior-analyst-business-health-finance-crusoe-bellevue-je6bkyv3n58p) — Bellevue, WA / United States - [Quality Manager - Manufacturing](https://feeny.ai/job/quality-manager-manufacturing-crusoe-brighton-89d7tkz350zy) — Brighton, CO / United States