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Group Product Manager, Edge Computing

Crusoe - San Francisco, CA, United States - In-office - posted 2026-08-27

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Salary: USD 250,000 - 300,000 / annual

Crusoe is a vertically integrated AI infrastructure company building modular AI data centers (Crusoe Spark™) with an energy-first approach. As Group Product Manager for Edge Computing, you will own the complete product strategy and execution for edge computing offerings, translating low-latency AI workload requirements into scalable, reliable products for industries including public sector, manufacturing, autonomous vehicles, and smart cities. You will define how customers deploy and consume edge AI infrastructure, operating at the intersection of hardware, software, energy, and product strategy. Responsibilities include defining and executing the product vision and roadmap across hardware configurations and software stack; conducting market research and competitive analysis; translating strategy into detailed roadmaps, user stories, and feature requirements; partnering with engineering, infrastructure, manufacturing, operations, and go-to-market teams; defining pricing and packaging models; tracking key product metrics; developing executive narratives for investment and capacity planning; and serving as internal and external evangelist for edge products. You should bring product management experience delivering hardware, software, or platform products in edge computing or cloud infrastructure; a proven track record launching and scaling B2B technical products; strong technical understanding of edge computing architectures (hardware, software, connectivity); experience working across hardware and software boundaries; ability to balance technical tradeoffs with customer requirements and infrastructure economics; experience collaborating across complex cross-functional teams; and exceptional communication skills translating technical concepts to diverse audiences. Bonus qualifications include AI/ML infrastructure experience, energy sector or sustainable technology background, hands-on hardware design and manufacturing knowledge, and cloud provider platform experience (AWS, Azure, GCP edge/distributed cloud products).

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