Data Center Facilities Operations Lead
About us
Gimlet is building the first multi-silicon neocloud designed for fast, efficient AI inference.
We combine large-scale compute infrastructure with an execution platform that partitions AI workloads and maps each stage to the hardware best suited to run it.
We work with foundation labs, hyperscalers, and AI-native companies, giving our team access to technical problems spanning frontier models, production infrastructure, and emerging hardware.
About the role
Gimlet Labs is seeking a Data Center Facilities Operations Lead to own the critical facilities operating model for Gimlet data centers and high-density AI infrastructure deployments. In this role, you will make sure the facility-side systems that support Gimlet's compute capacity are ready, monitored, maintained, and operating inside the required envelope.
You will focus on the infrastructure that keeps liquid-cooled AI systems healthy: facility water loops, CDUs, supply and return temperatures, flow, pressure, water quality, leak detection, alarms, heat rejection, power and cooling coordination, BMS/DCIM telemetry, maintenance procedures, and vendor repair workflows.
This role is well-suited for a critical facilities operator who understands data center MEP systems, liquid cooling, operational monitoring, and the discipline required to keep high-density compute environments stable as Gimlet scales.
What success looks like
In the first 12-18 months, you will:
- 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, CD...