Product Manager, Compute (AI Infrastructure)

Location: On-site in Sunnyvale, California; Bellevue, Washington; or San Francisco, California, United States

Salary: $208,725–$253,000 annually plus bonus; restricted stock units included.

Company

hirify.global is a vertically integrated AI infrastructure company operating energy, hardware, data center, and cloud service layers for large-scale AI workloads.

What you will do

• Define and execute the product strategy for GPU and CPU infrastructure, bare metal, virtualized compute, and orchestration services.
• Translate AI training and inference requirements into capabilities for performance, scheduling, isolation, utilization, and reliability.
• Drive roadmap decisions for GPU generations, server architectures, cluster topologies, provisioning, lifecycle management, observability, and optimization.
• Partner with networking and storage teams to support integrated performance for distributed AI workloads.
• Define pricing and packaging models aligned with utilization, customer flexibility, and infrastructure economics.
• Lead cross-functional execution from concept through launch and prepare materials for capacity planning, capital allocation, and product direction.

Requirements

• Product management experience delivering infrastructure or platform products, preferably in cloud infrastructure, HPC, or AI/ML environments.
• Deep understanding of virtualization, containerization, distributed systems, and large-scale cluster operations.
• Familiarity with GPU-based workloads, AI training and inference, scheduling, and performance considerations.
• Experience working across hardware and software boundaries and translating infrastructure capabilities into customer-facing products.
• Ability to evaluate technical tradeoffs, customer requirements, utilization, performance, and financial metrics.
• Strong communication and cross-functional collaboration skills across engineering, operations, finance, sales, and customer success.

Nice to have

• Experience with large-scale GPU fleets or AI infrastructure platforms.
• Familiarity with Kubernetes, Slurm, or other workload orchestration systems.
• Experience building products for AI-native customers or operating AI workloads directly.
• Background in infrastructure economics, capacity planning, or capital-intensive product environments.

Culture & Benefits

• Restricted stock units and competitive compensation.
• Paid time off, paid holidays, parental leave, and volunteer time off.
• Health, dental, vision, life, disability, and mental health support.
• 401(k) plan with company matching up to 4% of salary, plus HSA contributions.
• Professional development, tuition reimbursement, commuter benefits, and a cell phone stipend.