CPU/Storage/PoP-WAN Program Manager (AI)

TL;DR

CPU/Storage/PoP-WAN Program Manager (AI Infrastructure): Leading the execution of global infrastructure layers including server activation, storage platforms, and network expansion with an accent on cross-functional coordination between hardware readiness and engineering dependencies. Focus on converting contracted infrastructure into live training and inference capacity, managing PoP bring-up and backbone expansion.

Location: Must be based in San Francisco, CA

Salary: $342,000 – $555,000 + Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

• Lead end-to-end execution of CPU/GPU cluster activation programs across global infrastructure footprint.
• Drive readiness to convert contracted compute capacity into schedulable production clusters.
• Own deployment programs for new PoPs, backbone nodes, WAN expansion, and interconnection initiatives.
• Build integrated schedules spanning procurement, logistics, installation, storage readiness, network turn-up, and production handoff.
• Coordinate BOM readiness, server delivery, racks, optics, cabling, and vendor milestones.
• Manage deployment, validation, and scaling of storage systems supporting training and inference workloads.

Requirements

• 8+ years of experience in technical program management, infrastructure deployment, network deployment, or data center operations.
• Strong experience delivering programs involving compute, storage, networking, or large-scale infrastructure systems.
• Working knowledge of servers, clusters, storage arrays, routers, switches, optics, and structured cabling.
• Ability to reason across physical infrastructure execution and logical systems architecture dependencies.
• Strong executive communication skills with experience managing critical escalations.
• Must be based in San Francisco, CA.

Nice to have

• Experience at a hyperscaler, cloud provider, AI infrastructure company, or global network operator.
• Experience deploying GPU clusters, HPC systems, or large training environments.
• Familiarity with distributed storage systems and high-performance data infrastructure.
• Experience with PoP deployments, WAN backbone expansion, or global network buildouts.

Culture & Benefits

• Opportunity to build systems that power frontier AI workloads at global scale.
• Competitive compensation package including equity.
• Collaborative environment working across engineering, operations, and supply chain.
• Inclusive workplace committed to safety and human needs.