Staff Product Manager, Compute (SF, Sunnyvale)

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.

The Product Manager, Compute is responsible for defining and delivering Crusoe Cloud’s core compute offerings, spanning GPU and CPU infrastructure, bare metal, virtualized compute, and orchestration layers that power AI training and inference workloads. This role owns the strategy and execution of compute capabilities that form the foundation of Crusoe’s IaaS and Managed AI services.

You will define how customers access and consume large-scale compute resources, translating evolving AI workload requirements into scalable, reliable, and economically efficient products. This includes shaping infrastructure capabilities across hardware platforms, fleet management, scheduling, performance optimization, and developer experience. The role operates at the intersection of infrastructure, economics, and product strategy, ensuring compute investments translate into customer value and business outcomes.

The Product Manager, Compute collaborates closely with engineering, infrastructure operations, networking, storage, finance, sales, and customer success teams to deliver compute platforms that meet the needs of AI-native companies and enterprise customers running demanding workloads at scale.

• Define and execute the product strategy for Crusoe Cloud compute services, including GPU and CPU infrastructure, bare metal offerings, and virtualized compute environments supporting AI training and inference workloads

• Translate emerging AI workload requirements into product capabilities across performance, scheduling, isolation, utilization, and reliability

• Drive roadmap decisions across hardware platforms, including new GPU generations, server architectures, and cluster topologies, ensuring alignment between infrastructure investments and customer demand

• Partner with engineering and infrastructure teams to deliver fleet-level capabilities such as provisioning, lifecycle management, observability, and performance optimization across large-scale compute environments

• Collaborate with networking and storage product teams to ensure integrated infrastructure performance for distributed AI workloads

• Define pricing and packaging models that balance utilization, customer flexibility, and long-term infrastructure economics

• Work closely with sales, customer success, and solutions engineering to incorporate customer feedback into roadmap prioritization and product iteration

• Lead cross-functional execution from concept through launch, coordinating efforts across Product, Engineering, Operations, Finance, and GTM teams

• Develop executive-level narratives and decision materials that inform capital allocation, capacity planning, and product direction

• Represent Crusoe’s compute strategy internally and externally, supporting technical discussions with customers and partners as needed

• Strong product management experience delivering infrastructure or platform products, ideally within cloud infrastructure, HPC, or AI/ML environments

• Deep understanding of compute infrastructure concepts including virtualization, containerization, distributed systems, and large-scale cluster operations

• Familiarity with GPU-based workloads and AI infrastructure, including training and inference characteristics, scheduling challenges, and performance considerations

• 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

• Strong analytical skills with the ability to interpret utilization, performance, and financial metrics to guide roadmap prioritization

• Experience collaborating across engineering, operations, finance, and GTM teams to deliver complex infrastructure products

• Strong communication skills with the ability to articulate technical concepts and connect them to customer and business outcomes

• Experience working with large-scale GPU fleets or AI infrastructure platforms

• Familiarity with Kubernetes, Slurm, or other workload orchestration systems used for AI and HPC workloads

• Experience building products for AI-native customers or operating AI workloads directly

• Background in infrastructure economics, capacity planning, or capital-intensive product environments