Staff Technical Program Manager (AI Datacenter NPI)

Location: Sunnyvale, CA; on-site

Company

hirify.global builds large-scale AI computing hardware and systems designed to accelerate model training and inference.

What you will do

• Own cross-functional NPI plans for new AI system generations, rack configurations, and supporting infrastructure.
• Translate engineering specifications into requirements for power, cooling, space, racks, networking, cabling, installation, serviceability, and site interfaces.
• Lead design, readiness, initial deployment, validation, commissioning, acceptance, and operational handoff activities.
• Manage risks, issues, configuration dependencies, engineering changes, critical paths, and technical blockers across concurrent workstreams.
• Define repeatable deployment packages including approved configurations, acceptance checklists, runbooks, training, spares, and operational procedures.
• Present readiness recommendations and executive escalations while applying deployment lessons to improve rollout cycle time and issue recurrence.

Requirements

• Experience leading complex NPI, systems integration, hardware infrastructure, or deployment programs from early requirements through production or operational readiness.
• Staff-level program ownership across engineering and operations teams, including resolving ambiguous requirements and driving decisions across organizational boundaries.
• Technical understanding of data center systems and the relationships among compute, networking, power, cooling, rack integration, and facility readiness.
• Experience defining readiness gates, validation plans, acceptance criteria, and issue resolution processes for new technology introductions.
• Ability to manage configuration dependencies, engineering changes, critical paths, and technical risks across several concurrent workstreams.
• Strong communication and documentation skills, including explaining technical tradeoffs, presenting launch risks, and securing decisions from senior stakeholders.

Nice to have

• Experience deploying AI accelerators, high-performance computing systems, high-density racks, or liquid-cooled infrastructure.
• Experience with initial site deployments, rack integrators, commissioning teams, and transitions from engineering validation to repeatable field execution.
• Familiarity with hardware product lifecycles, manufacturing readiness, reliability validation, and service operations.

Culture & Benefits

• Work on an AI platform designed beyond the constraints of conventional GPU-based systems.
• Opportunities to publish and open-source AI research.
• Work with one of the fastest AI supercomputers in the world.
• Job stability combined with startup vitality and a simple, non-corporate culture.
• Commitment to an equal, diverse, inclusive, and continuously learning work environment.