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Data Center Site Selection Manager

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-05-16
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 170000 - 238000 USD Yearly USD 170000.00 238000.00 YEAR
Job Description & How to Apply Below

Meta designs, builds, leases, and operates the most leading-edge and efficient data centers in the world. Locating, developing and managing this data center infrastructure the "right" way is synonymous with ensuring high uptime, capacity availability, flexibility and capital and operational cost efficiency. Meta is seeking an experienced, organized, and collaborative Site Selection Manager - Leasing to join the Data Center Site Selection team.

We are seeking a Data Center Site Selection Manager who has extensive experience negotiating large, complex leasing deals and an extensive knowledge of the legal agreements that accompany them. The Data Center Site Selection Manager should also have experience thinking both strategically and analytically, develop out-of-the box solutions and can navigate the challenges that accompany leasing projects and portfolios of large magnitude.

Responsibilities
  • Lead data center acquisition and lease contracting negotiations
  • Perform technical due diligence and validate site viability across energy, land, etc
  • Manage supplier relationships and best practices
  • Perform market analysis and develop leasing site selection strategy
  • Stay informed of the technical, market, and regulatory developments in the data center industry
  • Contribute to organizational strategy and development of leasing standards at Meta
  • Travel domestically (10-25% at times)
Minimum Qualifications
  • Bachelor's degree in a business, engineering, environmental, or energy related discipline
  • 8+ years experience in facilitating, evaluating, or managing data center capacity projects
  • Experience collaborating across multiple internal functions, including legal, compliance, finance, and accounting
  • Familiarity with various lease structures (Modified Gross, NNN, YoC, etc.)
  • Experience leading large scale data center lease negotiations
  • Experience synthesizing commercial, regulatory, market, and contractual details to all organizational levels
  • Proven track record building and running leasing programs
  • Bachelor's degree in a directly related field, or equivalent practical experience
Preferred Qualifications
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

$170,000/year to $238,000/year + bonus + equity + benefits

Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity and Affi... We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

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