Staff Product Manager, Compute (SF, Sunnyvale)

About the role

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.

Responsibilities

• 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

Requirements

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

Qualifications

Experience working in a fast-paced, agile environment

Ability to manage multiple projects simultaneously and prioritize tasks effectively

Strong project management and leadership skills

Excellent problem-solving and critical thinking skills

Ability to work independently and as part of a team

Strong written and verbal communication skills

Ability to work under pressure and meet deadlines

Passion for technology and innovation

Ability to learn quickly and adapt to changing technologies and industry trends