Senior Product Manager (AI Infrastructure)

Location: Hybrid role based in New York City or San Francisco, with an in-office expectation of two days per week.

Annual base salary: $200,000–$250,000 USD, plus discretionary bonus, equity, and benefits.

Company

hirify.global builds an end-to-end platform for developing, training, and deploying AI systems, combining developer-first software with large-scale GPU cloud infrastructure.

What you will do

• Own the product vision and roadmap for GPU cloud infrastructure.
• Define how customers discover, provision, configure, and consume GPU compute.
• Build product experiences for GPU capacity, clusters, scheduling, networking, storage, and workload execution.
• Partner with infrastructure and platform engineering to improve availability, reliability, utilization, and performance.
• Use customer and infrastructure data to identify capacity constraints, reliability issues, performance bottlenecks, and adoption opportunities.
• Own APIs, developer workflows, pricing, packaging, metrics, launches, and product iteration in partnership with Engineering, Sales, Operations, Finance, customers, and executives.

Requirements

• 7+ years of product management experience, including 3+ years building cloud infrastructure, compute, platform, developer tooling, or AI infrastructure products.
• Experience building technical products for developers, infrastructure teams, ML engineers, AI researchers, or other technical users.
• Strong understanding of compute, networking, storage, provisioning, scheduling, orchestration, and GPU infrastructure.
• Technical depth in APIs, distributed systems, Kubernetes, workload orchestration, observability, and infrastructure reliability.
• Experience using data to analyze utilization, capacity, reliability, performance, and customer behavior, plus experience with pricing, packaging, or cloud unit economics.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

• Experience at a GPU cloud, neocloud, hyperscaler, AI infrastructure, or infrastructure developer-tools company.
• Experience with GPU provisioning, cluster management, capacity management, workload scheduling, or distributed compute.
• Familiarity with GPUs, Kubernetes, Slurm, Ray, PyTorch, distributed training, or similar technologies.
• Experience with reserved capacity, on-demand compute, utilization optimization, or large-scale AI training and inference.

Culture & Benefits

• Fast-moving environment focused on ownership, open communication, continuous improvement, and long-term thinking.
• Medical, dental, and vision coverage for employees and eligible dependents.
• RSUs, retirement benefits, unlimited PTO, company holidays, and a two-week winter break.
• Paid parental and family leave, professional development allowance, wellness benefits, and work-from-home stipends.
• Four-week paid sabbatical after four years and complimentary meals at office hubs.