Head Of Infrastructure Operations (AI)

TL;DR

Head of Infrastructure Operations (AI): Leading end-to-end operational management of GPU data center portfolios with an accent on operational excellence, safety, and reliability. Focus on scaling physical infrastructure, managing cross-functional regional teams, and ensuring compliance for a high-performance AI cloud platform.

Location: Must be based in the US. Regular travel to data centers is essential.

Salary: $180,000 - $277,000 USD

Company

Nscale is a GPU cloud provider engineered for AI, delivering cost-effective, high-performance infrastructure for AI startups and large enterprises.

What you will do

• Own the strategic vision and execution of data center infrastructure operations across the region to align with business growth.
• Build, mentor, and lead high-performing operations teams across multiple data center sites.
• Oversee physical facility performance, including power distribution, cooling systems, security, and asset inventory.
• Establish SLOs/SLIs for availability and lead root-cause analysis and remediation for operational failures.
• Manage critical vendor relationships, oversee SLAs, and handle procurement for equipment and maintenance.
• Partner with Engineering, Security, and Finance teams on capacity planning and site commissioning.

Requirements

• 10+ years of experience in data center operations, infrastructure, or facilities management at scale.
• Proven track record of leading regional or multi-site operations in high-growth environments.
• Deep technical understanding of power systems, cooling, networking, and physical security.
• Familiarity with compliance frameworks such as ISO 22237, ISO 27001, SOC 2, and ISO 22301.
• Understanding of GPU/HPC infrastructure and the specific operational needs of AI cloud platforms.
• Must be based in the US.

Nice to have

• Experience with Palantir Foundry or similar data platforms for operational analytics.
• Background in sustainability and energy efficiency optimization.
• Knowledge of Kubernetes, container orchestration, or hybrid cloud architectures.
• Security certifications or experience with GRC tooling.

Culture & Benefits

• Highly competitive compensation package including base salary and equity.
• Human-first flexibility and autonomy to shape your own workday.
• Comprehensive benefits including medical, dental, vision, paid time off, and retirement plans.
• Dynamic progression plans and the opportunity to work at a fast-growing AI tech startup.