Manager, Operations

About the role

We are seeking an exceptional Manager, Operations to lead facilities operations and power generation for xAI’s hyperscale AI compute facilities.

Responsibilities

• Lead and scale the facilities operations and power generation teams responsible for the reliable operation, maintenance, monitoring, and optimization of critical infrastructure including on-site power generation assets, electrical systems, mechanical/HVAC, liquid cooling, power distribution, UPS, generators, and building management systems.
• Direct the fiber teams overseeing the design, deployment, maintenance, and expansion of high-speed fiber optic networks, dark fiber, and connectivity infrastructure supporting AI compute clusters and data center interconnects.
• Own key performance metrics such as uptime (targeting 99.999%), mean time to detect/repair (MTTD/MTTR), power usage effectiveness (PUE), water usage effectiveness (WUE), power generation efficiency, and overall infrastructure availability.
• Develop and enforce standard operating procedures (SOPs), preventive maintenance programs, incident response protocols, and continuous improvement processes for both facilities and power generation assets to minimize downtime and maximize efficiency.
• Build, mentor, and grow multidisciplinary teams of operations technicians, power generation engineers and controls specialists while fostering a culture of ownership, safety, and excellence.
• Partner closely with engineering, construction, procurement, and AI hardware teams to support new facility builds, expansions, commissioning, power integration, and smooth handovers from project to operations.
• Manage operational budgets, vendor relationships (maintenance contractors, fiber providers, power generation OEMs, fuel suppliers), spare parts inventory, and risk mitigation strategies in a high-velocity environment.
• Drive innovation in operational practices, automation, predictive maintenance, power generation optimization, and sustainability initiatives to support the extreme power and cooling demands of next-generation AI systems.
• Provide regular performance reporting, root cause analyses, lessons learned, and strategic recommendations to senior leadership.

Basic Qualifications

• 5+ years of progressive experience in data center facilities operations, power generation operations, hyperscale infrastructure management, or mission-critical industrial operations, with at least 2+ years in a management or supervisor role.
• Proven track record leading large-scale operations teams supporting high-density compute environments with significant on-site or dedicated power generation (AI, HPC, or hyperscaler data centers strongly preferred).
• Strong experience managing fiber optic networks, dark fiber deployments, or high-bandwidth connectivity infrastructure in large-scale technical environments.
• Deep knowledge of power generation systems (gas turbines, reciprocating engines, cogeneration, etc.), MEP (mechanical, electrical, plumbing) systems, BMS/SCADA, liquid cooling, power redundancy topologies, and 24/7 operations best practices.
• Demonstrated success delivering high reliability, rapid incident resolution, and operational excellence under aggressive scaling timelines.
• Hands-on leadership style with the ability to roll up sleeves while effectively managing teams, budgets, and cross-functional stakeholders.
• Proficiency with operations tools, CMMS (computerized maintenance management systems), monitoring platforms, and data-driven decision making.

PREFERRED SKILLS AND EXPERIENCE

• Direct background in AI or hyperscale data center operations, including liquid cooling systems, high-power GPU/accelerator environments, and on-site power generation.
• Experience building or scaling fiber infrastructure for low-latency, high-bandwidth interconnects between compute clusters or sites.
• Familiarity with Uptime Institute Tier standards, ASHRAE guidelines, power generation standards (e.g., IEEE, NFPA), OSHA/EPA compliance, and sustainability practices in critical facilities.
• Bachelor’s or Master’s degree in Electrical, Mechanical Engineering, Power Systems, Facilities Management, or related field; relevant certifications (CDCP, CDCS, or equivalent) a plus.
• Track record of implementing automation, predictive analytics, or process improvements that significantly enhanced operational performance and power reliability.