Data Center Facilities Operations Lead (AI Infrastructure)

Location: Remote, with San Francisco, CA listed

Company

hirify.global is building a multi-silicon neocloud for fast, efficient AI inference across heterogeneous hardware.

What you will do

• Build the critical facilities operating model for current and future data center sites, including operating standards, escalation paths, maintenance routines, acceptance criteria, and readiness gates.
• Translate OEM and engineering requirements for liquid-cooled AI platforms into site operating envelopes covering temperature, flow, pressure, water quality, alarms, and heat rejection.
• Own monitoring and incident response for facility telemetry, including water temperatures, delta-T, flow, pressure, leak detection, CDU status, cooling capacity margins, and BMS/DCIM alarms.
• Coordinate with colocation providers, facility vendors, OEMs, site teams, deployment leads, and TPMs to prepare facilities for new compute capacity.
• Create and maintain MOPs, SOPs, EOPs, maintenance plans, runbooks, inspection routines, and incident response procedures.
• Lead root cause analysis and corrective actions for thermal, leak, power, cooling, monitoring, and environmental events while reporting facility health, risks, readiness, capacity margins, repairs, and trends.

Requirements

• Experience in data center facilities operations, critical facilities engineering, MEP operations, commissioning, facilities maintenance, or high-density infrastructure operations.
• Knowledge of liquid cooling operations, facility water systems, CDUs, heat rejection, temperature management, flow, pressure, filtration, leak detection, and water quality controls.
• Experience with BMS, DCIM, EPMS, CDU monitoring, alarm response, trend analysis, and facilities telemetry in production environments.
• Ability to write and run MOPs, SOPs, EOPs, maintenance plans, incident procedures, and vendor repair workflows.
• Clear communication with site, network, engineering, deployment, colocation, OEM, and facilities vendor stakeholders.
• Comfort working in active data center environments and supporting urgent facilities escalations.

Nice to have

• Experience with GPU clusters, GB200/GB300-class platforms, NVL rack-scale systems, HPC, AI infrastructure, or other high-density liquid-cooled deployments.
• Experience with commissioning, integrated systems testing, site acceptance testing, facility turnover, or deployment readiness reviews.
• Familiarity with power distribution, UPS and generator coordination, chilled water systems, dry coolers, CRAH/CRAC systems, CDUs, rear-door heat exchangers, and liquid cooling safety.
• Experience managing colocation obligations, service levels, maintenance windows, vendor escalations, and facilities contract deliverables.

Culture & Benefits

• Early-stage environment with significant ownership over facilities operations.
• Direct collaboration with a small, highly capable team across infrastructure and engineering domains.
• Opportunity to shape how an AI infrastructure company builds and scales its operating model.
• Emphasis on ownership, cross-domain collaboration, meaningful technical problems, and operational reliability.