Business Development Manager

Meta

$130K — $180K *
Energy & Utilities
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • BA/BS in Finance, Economics, Engineering, or related field.
  • 10+ years in infrastructure finance, energy projects, or capital markets; experience with large-scale projects ($1B+).
  • Solid knowledge of energy markets, including generation tech and utility economics.
  • Experience in evaluating large infrastructure deals for data centers or similar hyperscaler projects.
  • Proven track record in structured finance including project debt and SPV formation.
  • Ability to navigate and integrate across engineering, legal, finance, and commercial disciplines.

Responsibilities

  • Support infrastructure capacity deals in cloud, lease, and self-build projects.
  • Assist with structuring large-scale capital partnership vehicles like SPVs and JVs.
  • Conduct strategic analysis of energy and data center market dynamics.
  • Synthesize insights across deal workstreams for unified capital allocation views.
  • Act as domain expert on infrastructure and financing within Business Development.
  • Partner with cross-functional teams to align partnership strategy with execution.

Benefits

  • Flexible working hours and a hybrid work environment.
  • Opportunity for professional development and continued learning.
  • Participation in a culture that encourages innovative thinking.
  • Access to advanced tools and technologies in energy and project finance.
Full Job Description
This role is the strategic partnerships lead within the Business Development Team, responsible for helping to evaluate, structure, and advise on infrastructure capacity deals, energy partnerships, and capital-intensive partnership constructs. The role operates at the intersection of Meta's external partnership strategy and its infrastructure investment decisions, providing practitioner-level domain expertise on energy, data center economics, and project finance to the VP Partnerships and leadership.

Responsibilities

Support infrastructure capacity deals across cloud, lease, and self-build pipelines. Assess developer credibility, cost structures, power procurement, and financing terms
• Support structuring of large-scale capital partnership vehicles (SPVs, JVs, tax equity, project finance) in coordination with Finance, Legal, and Infrastructure teams
• Provide strategic analysis on energy and data center market dynamics, including power generation (nuclear, renewables, gas), grid/transmission, utility economics, and regulatory/permitting landscape
• Synthesize intelligence across multiple deal workstreams to produce unified capital allocation views for leadership's decision-making
• Serve as Business Development's domain expert on infrastructure and financing, ensuring the partnerships team contributes informed, independent perspectives in cross-functional forums
• Partner with Infrastructure, Finance, and Legal teams as a strategic liaison, ensuring alignment between partnership strategy and infrastructure execution

Minimum Qualifications
• BA/BS Degree in a relevant field (e.g., Finance, Economics, Engineering, or related discipline)
• 10+ years in infrastructure finance, energy project development, or capital markets with direct experience in large-scale ($1B+) project finance, JV structuring, or infrastructure M&A
• Knowledge of energy and power markets, including generation technologies, grid dynamics, PPA structures, and utility economics
• Experience in evaluating or negotiating data center, hyperscaler, or large-load infrastructure deals
• Track record in structured finance (tax equity, project debt, securitization, SPV formation)
• Ability to operate across disciplines (engineering, legal, finance, and commercial) and to synthesize complex deal structures into strategic recommendations

Preferred Qualifications
• 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
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• MBA or equivalent; engineering or technical undergraduate background preferred

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