Meta designs, builds, and operates one of the world's largest and most advanced AI infrastructure footprints. As demand for AI compute accelerates, securing the right cloud capacity at the right cost, speed, silicon mix, and terms is a key strategic and consequential lever for the company. Meta is seeking a Principal, AI Infrastructure Cloud Sourcing to lead the commercial and technical strategic supplier relationships that power our AI research and product needs. This is a senior, high-visibility role with responsibility for sourcing Meta's AI cloud capacity. Partnering closely with our Research, product, hardware and software engineering, finance, and legal teams, you will own the commercial engagements and executive partnerships with some of our most important cloud providers shaping multi-year, large-scale agreements that directly enable Meta's AI roadmap. You will set sourcing strategy, lead complex negotiations, develop supply optionality, and translate ambitious research needs into durable commercial structures that balance time-to-capacity with total landed cost.

Qualifications:

Bachelor's degree in a related technical or business field, or equivalent practical experience 12+ years of business, partnerships, sourcing, or supply chain experience in data center, cloud services, compute, or AI/system hardware supply chains and adjacent industries Proven track record structuring and negotiating large-scale, complex commercial agreements with major technology or cloud suppliers Direct experience partnering with C-suite executives and leaders at top cloud and technology partners In-depth understanding of "should cost" economics and make-vs-buy trade-offs for cloud Move to

RESPONSIBILITIES

section Experience in AI products and technologies such as AI models, use-cases, and systems Demonstrated ability to move seamlessly from strategy to execution Experience influencing, negotiating, building consensus, and making strategic decisions Experience operating in fast-paced, ambiguous, cross-functional environments requiring independent judgment while coordinating people and technical resources MS or MBA degree Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 15+ years of experience, including leadership experience Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)