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AI Infrastructure Operations Lead

hydra host • United State
Remote
This Job is No Longer Active This position is no longer accepting applications
AI Summary

Hydra Host is seeking an Operations Lead to build and manage the infrastructure for AI at scale. This role involves orchestrating complex data center deployments and ensuring operational excellence. You will lead new AI factory buildouts, onboard data center partners, and manage inventory and vendor performance. This is an opportunity to own operations at a rapidly growing company at the forefront of the AI compute wave.

Key Highlights
Lead end-to-end deployment of new high-end GPU data center builds.
Manage onboarding workflows for data center partners.
Track and manage GPU server inventory and hardware lifecycles.
Build operational dashboards for key performance metrics.
Oversee vendor and partner performance through scorecards and reviews.
Benefits & Perks
Competitive salary
Healthcare coverage (medical, dental, vision)
Fully remote team
Direct impact on AI infrastructure deployment and operations

Job Description


About Hydra Host

Hydra Host is a Founders Fund-backed NVIDIA cloud partner building the infrastructure platform that powers AI at scale. We connect AI Factories - high-performance GPU data centers - with the teams that depend on them: research labs training foundation models, enterprises running production inference, and developer platforms demanding scalable compute capacity.

The Role

We're building the infrastructure backbone for the AI revolution, and we need someone to orchestrate the chaos into operational excellence.

 

You'll be building systems from scratch, designing processes that don't exist yet, and solving problems that most operators never encounter. If you thrive on turning complexity into clarity and get energized by high-stakes coordination across engineering, vendors, and data center partners - this is your opportunity to own operations at a company riding the biggest compute wave in tech history.

Key Responsibilities

Lead New AI Factory Buildouts. Coordinate end-to-end deployment of new high-end GPU data center builds from site prep and hardware delivery through rack installation, network provisioning, and go-live.

Drive Data Center Partner Onboarding. Manage onboarding workflows for existing data center partners joining the Brokkr network, ensuring technical, commercial, and operational readiness before launch.

Manage Inventory & Assets. Track and manage GPU server inventory across all facilities, monitor hardware lifecycles, and optimize asset utilization to meet commercial commitments.

Track Operational Metrics & Reporting. Build and maintain operational dashboards tracking deployment velocity, uptime/SLA performance, utilization rates, and incident response efficiency.

Oversee Vendor & Partner Performance. Develop vendor performance scorecards, run quarterly business reviews, and resolve operational issues with hardware suppliers and data center partners.

Preferred Qualification

Customer obsession. You genuinely care about solving customers problems, communicate proactively, and never leave customers in the dark

Principled thinking. You make decisions based on clear principles, not politics or convenience. When there's ambiguity, you fall back on what's right for the customer and the business long-term

Technical curiosity. You love learning how things work, even when it's outside your immediate domain

Systems thinking. You don't just solve one-off issues; you identify root causes and build solutions that prevent them from recurring

Why join Hydra Host

Competitive salary – We pay fairly and transparently

Healthcare coverage – Medical, dental, vision for you and your dependents

Fully remote team – Remote-first with hubs in Phoenix, Boulder, Miami and periodic team offsites

Direct impact – Your work will shape how thousands of GPU clusters get deployed and operated. Early team means your fingerprints are on everything

The AI infrastructure layer is being built right now. Companies are scrambling to secure GPU capacity, deploy clusters, and monetize excess compute. We're at the center of that transformation.

 You'll work with world-class customers deploying next-gen AI hardware. You'll help solve real infrastructure challenges - not hypothetical SaaS edge cases. And you'll do it alongside a team that values craftsmanship, and moving fast without breaking things (especially GPUs).

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