Posted Aug 20, 2026

Data Center Facilities Operations Lead

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About Us

Gimlet is building the first multi-silicon neocloud designed for fast, efficient inference.

As AI workloads become more complex and new hardware architectures emerge, simply deploying more GPUs isn't enough. The challenge is making increasingly diverse compute work together.

Gimlet's platform intelligently partitions and routes workloads across heterogeneous hardware, enabling step-function improvements in performance and efficiency. Customers deploy through production-grade APIs without needing to think about hardware selection, placement, or optimization.

We work 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 gives our team access to systems research problems grounded in frontier models, cutting-edge production workloads, and emerging hardware architectures.

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:

You may be a good fit if

Strong candidates may also have

Why join now?

Gimlet is at the very beginning of its journey, and that's what makes this moment special. Most AI infrastructure companies are focused on deploying more compute. We are focused on making increasingly diverse compute work together, and that ambition touches every part of how we build and run this company.

As an early member of the team, you will have significant ownership over your work, partner directly with a small group of highly capable people, and help shape not just what we build, but how we scale the company.

We value people who are excited to work across domains, take ownership of meaningful problems, and help define what Gimlet becomes over the next several years.

Agency Policy: 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.

Experience in data center facilities, critical facilities engineering, MEP operations, commissioning, maintenance, or high-density infrastructure; expertise in liquid cooling, telemetry, MOPs, SOPs, EOPs, and vendor workflows.

Key Responsibilities

Skills & Tools

BMS, DCIM, EPMS, CDU, UPS, CRAH, CRAC, MOPs, SOPs, EOPs

Job Details

About Gimlet Labs

An AI infrastructure company building a multi-silicon cloud for efficient production inference. — Industry: Information Technology