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Data Center Lease Development Manager

United States, Austin Employment contract 202000.00 - 273000.00 USD / Year · Job Posted June 14, 2026
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Job Description

A qualified Data Center Lease Development Manager has extensive experience performing technical assessments, negotiating and administering large, complex data center lease transactions in the hyperscale space and an extensive knowledge of the legal agreements that accompany them. The Data Center Lease Development Manager will work with Site Selection Managers to think both strategically and analytically to develop out-of-the-box solutions to find and execute on large lease options, developing new business models for AI deployment in leased spaces. The Data Center Lease Development Manager has deep knowledge of leased data center operations, including site selection, contract negotiation, and lease management and is experienced in navigating the challenges that accompany lease negotiations and lease management.

Job Responsibility

  • Develop Meta's leased and colocation data center location strategy and manage the site selection effort for technical due diligence, commercial negotiations and contract administration in that space, including partnering with teams focused on economic development incentives, energy and utilities, network connectivity, legal, policy, and financial considerations
  • Develop and lead technical feasibility discussions and contract negotiations with landlords, property owners, and utility companies, and engineering teams
  • Work as a primary conduit between Meta Engineering and Landlord SMEs in order to optimize solutions to fit the needs of our customers in an efficient manner
  • Coordinate lease contract amendments in response to changes in business needs, improvements in business terms or processes, and/or feedback from engineering teams in the field
  • Negotiate letters of intent, lease agreements, service agreements, and other facility-specific agreements
  • Partner with internal organizations, including capacity planning, site selection managers, energy teams, data center design, construction, network engineering, legal, policy, communications, and finance, to align on key business terms
  • Develop ideas for improving metrics and tracking mechanisms
  • Manage supplier relationships and best practices
  • Perform market analysis and develop a leasing site selection strategy
  • Stay informed about the technical, market, and regulatory developments in the data center industry
  • Contribute to the organizational strategy and development of leasing standards at Meta
  • Travel domestically and internationally as needed (10% to 25% at times)

Requirements

  • Bachelor's degree in a directly related field, or equivalent practical experience
  • Bachelor's degree in engineering, business, paralegal studies, or a technical discipline
  • 10+ years of experience in leased data center site selection, engineering, design, construction, contract management, and/or development of data centers or other large-scale or mission-critical capital projects
  • Experience leading complex negotiations
  • Experience representing business interests to the executive leadership of potential suppliers, utilities, and other stakeholders
  • Experience managing multiple projects and coordinating with internal staff, consultants, vendors, and external stakeholders
  • Analytical and communications skills with proven experience to effectively distill and communicate complex commercial, market, and contractual details to all organizational levels

Nice to have

  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Advanced technical degree, a law degree, or an MBA
  • Background in engineering, contract management, and understanding of leases, experience with data center leases
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

What we offer

  • bonus
  • equity
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