Datacenter Site Selection Manager - Leasing

Meta

$130K — $180K *
Real Estate & Construction
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a related field or equivalent experience
  • 10+ years in managing data center capacity projects
  • Expertise in large scale data center lease negotiations
  • Strong financial modeling skills related to data center transactions
  • Ability to collaborate across legal, compliance, finance, and accounting teams
  • Outstanding communication skills for stakeholder engagement
  • Proven experience in multiple lease structures

Responsibilities

  • Lead negotiations for data center acquisition and leases
  • Conduct technical due diligence to validate site viability
  • Manage relationships with suppliers and implement best practices
  • Perform market analysis to inform leasing strategy
  • Monitor developments in the technical, market, and regulatory fields
  • Contribute to Meta's organizational strategy for leasing standards
  • Domestic travel required (10-25% occasionally)

Benefits

  • Collaborative work environment with cross-functional teams
  • Opportunity to influence organizational strategies
  • Professional growth through exposure to large scale projects
  • Engagement in evolving technology landscape
  • Potential for integration of AI tools in workflows
Full Job Description
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 directly related field, or equivalent practical experience
• 10+ years experience in facilitating, evaluating, or managing data center capacity projects
• Experience leading large scale data center lease negotiations
• Experience working with detailed financial models of data center projects and transactions, identifying key risks and sensitivities, and leading all related due diligence efforts (financial, commercial, technical, development)
• Experience collaborating across multiple internal functions, including legal, compliance, finance, and accounting
• Experience representing business interests to the leadership teams of potential suppliers, strategic markets, energy suppliers and other stakeholders
• Proven precise communication skills
• Experience synthesizing commercial, regulatory, market, and contractual details to all organizational levels
• Experience managing multiple projects and collaborating with internal staff, lease providers, and external stakeholders
• Proficiency in standard document and analytics platforms
• Proven track record building and running leasing programs
• Familiarity with various lease structures (Modified Gross, NNN, YoC, etc.)

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

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