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About the Role

Gimlet Labs is seeking a Data Center Facilities Operations Lead to manage the critical facilities operating model for Gimlet data centers and high-density AI infrastructure deployments. This role ensures facility-side systems supporting Gimlet's compute capacity are ready, monitored, maintained, and operating within the required parameters, with a focus on infrastructure supporting liquid-cooled AI systems.

Responsibilities

Build the facilities operations model for current and future Gimlet sites, including operating standards, escalation paths, maintenance routines, acceptance criteria, and facility readiness gates.
Translate OEM and engineering requirements for liquid-cooled platforms into practical site operating envelopes for temperature, flow, pressure, water quality, alarms, and heat rejection.
Own monitoring and response for facility-side telemetry, including supply and return water temperatures, delta-T, flow, pressure, leak detection, CDU status, cooling capacity margins, and BMS/DCIM alarms.
Partner with colocation providers, facility vendors, OEMs, Site Managers, Data Center Technicians, Deployment Leads, and TPMs to ensure facilities are ready before new compute capacity is deployed.
Create and maintain MOPs, SOPs, EOPs, maintenance windows, runbooks, inspection routines, and incident response procedures for critical facilities and liquid cooling operations.
Coordinate preventive maintenance, repairs, and vendor response for CDUs, facility water loops, filters, valves, pumps, sensors, leak detection systems, chillers, dry coolers, CRAHs, and related infrastructure.
Lead facility-side root cause analysis for thermal, leak, power, cooling, monitoring, and environmental events, then drive durable corrective actions.
Build reporting that shows facility health, risk, readiness, capacity margin, recurring issues, open repairs, and operational trends across Gimlet sites.

Requirements

Experience in data center facilities operations, critical facilities engineering, MEP operations, commissioning, facilities maintenance, or high-density infrastructure operations.
Understanding of liquid cooling operations, facility water systems, CDUs, heat rejection, supply and return temperature management, flow, pressure, filtration, leak detection, and water quality controls.
Experience operating or supporting 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 with strong operational discipline.
Clear communication with site teams, network teams, deployment TPMs, engineering, colocation providers, OEMs, and facilities vendors.
Comfort working in active data center environments and supporting urgent facilities escalations.
Experience supporting GPU clusters, GB200/GB300-class platforms, NVL rack-scale systems, HPC environments, AI infrastructure, or other high-density liquid-cooled compute deployments.
Experience with data center commissioning, integrated systems testing, site acceptance testing, facility turnover, or deployment readiness reviews.
Familiarity with power distribution, UPS/generator coordination, chilled water systems, dry coolers, CRAH/CRAC systems, CDUs, rear-door heat exchangers, and liquid cooling safety practices.
Experience managing colocation provider obligations, service levels, maintenance windows, vendor escalations, and facilities contract deliverables.
A track record of improving facility reliability through monitoring, preventive maintenance, incident analysis, documentation, training, and operational controls.

Skills

Data center facilities operations
Critical facilities engineering
MEP operations
Commissioning
Facilities maintenance
High-density infrastructure operations
Liquid cooling operations
Facility water systems
CDUs
Heat rejection
Temperature management
Flow management
Pressure management
Filtration
Leak detection
Water quality controls
BMS
DCIM
EPMS
CDU monitoring
Alarm response
Trend analysis
Facilities telemetry
MOPs
SOPs
EOPs
Maintenance plans
Incident procedures
Vendor repair workflows
Root cause analysis
Reporting
Communication
Collaboration

Location

Data centers

Work Type

Full-time

Experience Level

Lead

About the Company

Gimlet is building the first multi-silicon neocloud designed for fast, efficient inference.
The company's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling significant improvements in performance and efficiency.
Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.
Gimlet works with foundation labs, hyperscalers, and AI-native companies to power production workloads at massive scale and help define the infrastructure layer for the future of AI.
This provides the team access to systems research problems grounded in frontier models, cutting-edge production workloads, and emerging hardware architectures.

Equal Opportunity

Gimlet Labs does not accept unsolicited resumes from recruitment agencies or search firms. Any unsolicited resumes submitted without a signed agreement will be considered the property of Gimlet Labs, and no fees will be paid.