Datacenter Operation Manager

What to Expect

We are looking for an experienced Datacenter Operations Manager to lead the reliable, efficient, and scalable operations of our hyperscale data centers supporting large-scale AI training and inference workloads. You will oversee high-density GPU/AI infrastructure, advanced power & cooling systems, and ensure maximum uptime, capacity readiness, and operational excellence in a fast-growing AI environment.

What You'll Do

• Lead day-to-day operations of hyperscale data centers hosting AI/GPU clusters, ensuring high availability, performance, and safety
• Manage critical infrastructure including high-density power distribution, advanced cooling (air, liquid, immersion), rack density, and environmental controls optimized for AI workloads
• Drive capacity planning, space/power/cooling forecasting, and rapid deployment support for AI infrastructure expansion
• Oversee preventive/corrective maintenance, vendor management, and incident response to minimize downtime
• Implement and improve operational processes, monitoring, automation, and DCIM tools for hyperscale efficiency
• Ensure compliance with safety, security, environmental, and industry standards while driving energy efficiency and sustainability initiatives
• Lead, mentor, and develop the onsite operations team; coordinate with engineering, networking, and AI platform teams
• Manage change control, risk assessments, and continuous improvement programs tailored to AI-driven demand

What You'll Bring

• Bachelor’s Degree in Engineering, Computer Science, or related field, or equivalent experience
• 7+ years in data center operations, with at least 3–5 years in hyperscale or large-scale environments
• Strong hands-on experience with high-density compute (GPU/AI clusters), power systems, and advanced cooling technologies
• Proven leadership of operations teams and vendor/contractor management in 24/7 critical facilities
• Solid understanding of data center best practices (Uptime Institute, TIA-942, or equivalent), capacity management, and incident management
• Excellent problem-solving, communication, and stakeholder management skills
• Direct experience supporting AI/ML infrastructure or hyperscale cloud providers
• Familiarity with liquid cooling, high-performance networking, and DCIM/BMS systems
• Relevant certifications (e.g., CDCP, ATD, PMP, or vendor-specific)
• Experience with automation, scripting, or sustainability/energy optimization programs

Compensation and Benefits

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program

Tesla is an Equal Opportunity / Affirmative Action employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.