Global Enterprise Asset & Maintenance Manager

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FluidStack

11 - 50 employees

🤖 Artificial Intelligence

Artificial Intelligence • Cloud Computing

FluidStack is a company that provides GPU supercomputing infrastructure for AI labs. It offers on-demand access to thousands of Nvidia GPUs, enabling large-scale AI training and inference. The company specializes in deploying and managing large GPU clusters with support for technologies like Kubernetes and Slurm, ensuring high availability and excellent support. FluidStack provides a fully managed cloud infrastructure, helping AI companies to focus on developing models without worrying about the underlying hardware. They emphasize performance and cost-efficiency, offering services that scale to thousands of GPUs with high uptime and rapid response times.

📋 Description

• Build the fleet-wide maintenance management index from zero • Stand up the CMMS and work management backbone that turns that index into scheduled work • Lead EAM adoption as a change program across a multi-site fleet • Write the maintenance standards that new sites inherit on day one • Quarterback maintenance data into the operating rhythm

🎯 Requirements

• You've led EAM or CMMS program adoption across a large fleet (hyperscaler, utility, or industrial portfolio) • You've built or rebuilt a maintenance program for critical infrastructure • You've built the asset taxonomy and data standards that let a fleet compare maintenance performance site-to-site • You've written PM strategies grounded in equipment criticality and failure modes • You've held vendors and colo providers accountable to maintenance scope through evidence and audit findings • You turn maintenance data into decisions: backlog trends and recurrence patterns

🏖️ Benefits

• Offers Equity

Apply Now

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