--- title: 'Group Product Manager, Edge Computing at Crusoe' canonical: 'https://feeny.ai/job/group-product-manager-edge-computing-crusoe-san-francisco-wpsj75seb1gp' type: 'job' last_seen: '2026-09-04' --- # Group Product Manager, Edge Computing at Crusoe - **Company:** [Crusoe](https://feeny.ai/companies/crusoe) - **Location:** San Francisco, CA / United States - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-08-27 - **Last confirmed live:** 2026-09-04 - **Apply:** https://jobs.ashbyhq.com/crusoe/b603f013-017a-40c5-a1b2-e3a74c5f5a81 ## 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 the Role: The Group Product Manager, Edge Computing is responsible for defining and delivering Crusoe's edge computing product strategy, built on Crusoe Spark™ modular AI data centers. You'll own the product vision, roadmap, and execution for edge offerings end to end, from hardware configurations to the software stack, bringing real-time, low-latency AI to industries like public sector, manufacturing, autonomous vehicles, and smart cities. You will define how customers deploy and consume AI infrastructure at the edge, translating emerging low-latency AI workload requirements into scalable, reliable, and economically efficient products. The role operates at the intersection of hardware, software, energy, and product strategy, ensuring that edge investments across modular data center design, compute platforms, and the cloud control plane translate into customer value and business outcomes. The Group Product Manager, Edge Computing collaborates closely with engineering, infrastructure, manufacturing, business operations, and go-to-market teams to deliver edge solutions for customers running demanding AI workloads outside the traditional data center. What You'll Be Working On: - Define and execute the product vision and strategy for Crusoe's Edge Computing offerings, based on Crusoe Spark™ modular AI data centers - Own the full product lifecycle, from ideation to end-of-life, across both hardware and software solutions at the edge - Conduct market research, competitive analysis, and customer interviews to identify new opportunities and validate product concepts - Translate product strategy into a detailed roadmap, user stories, and feature requirements spanning hardware configurations, software stack, and connectivity - Partner with engineering, infrastructure, manufacturing, business operations, and go-to-market teams to ensure successful product development and launch - Define pricing and packaging models that balance deployment economics, customer flexibility, and long-term infrastructure returns - Track and analyze key product metrics to inform decisions and measure product success - Develop executive-level narratives and decision materials that inform investment, capacity planning, and product direction - Serve as the internal and external evangelist for Crusoe's Edge Computing products, presenting to customers, partners, and internal stakeholders What You'll Bring to the Team: - Product management experience delivering hardware, software, or platform products in the edge computing or cloud infrastructure space - A proven track record of launching and scaling B2B technical products from concept to market - Strong technical understanding of edge computing architectures, including hardware (servers, storage, networking), software (containerization, virtualization, control plane as part of a cloud infrastructure), and connectivity - Experience working across hardware and software boundaries, translating infrastructure capabilities into customer-facing products - Ability to balance technical tradeoffs, customer requirements, and infrastructure economics when making product decisions - Experience collaborating across engineering, manufacturing, operations, and GTM teams to deliver complex infrastructure products - Exceptional communication skills, with the ability to articulate complex technical concepts to a variety of audiences and connect them to customer and business outcomes - The ability to thrive in a fast-paced, high-growth startup environment Bonus Points - Experience with AI/ML infrastructure, including training, inference, and MLOps - Prior experience in the energy sector or with sustainable technology - Hands-on experience with hardware design and manufacturing processes - Experience with a cloud provider (AWS, Azure, GCP) and their edge/distributed cloud products, or a deep understanding of cloud-native principles Benefits: - Competitive compensation and equity packages - Restricted Stock Units - Paid time off, paid holidays & leave of absence programs - Comprehensive health, dental & vision insurance - Employer contributions to HSA account - Paid parental leave - Paid life insurance, short-term and long-term disability - Professional development & tuition reimbursement - Mental health & wellness support - Commuter benefits (parking & transit) - Cell phone stipend - 401(k) Retirement plan with company match up to 4% of salary - Volunteer time off - Global travel insurance & emergency assistance - Daily meals allowance - Additional perks & programs specific to location ## Compensation Range Compensation will be paid in the range of up to $250,000-$300,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data. 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. 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