Staff Product Manager, Compute (SF, Sunnyvale)

What You’ll Work On

• 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

What You’ll Bring

• 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

Bonus Points

• 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

Compensation Range

Compensation will be paid in the range of $208,725 - $253,000 + Bonus. Restricted Stock Units are included in all offers.