Infrastructure Supply Chain Lead; Capabilities

Meta is looking for a leader to shape the future of our global infrastructure supply chain powering Meta’s AI-fueled product experiences. Meta operates a global AI infrastructure  leading infrastructure and supply chain are critical to Meta’s AI ambitions.

As an end-to-end Infrastructure Supply Chain Lead, you will develop strategies and lead implementation to solve our largest challenges. The right leader for this role will leverage their experience in both commercial and technical domains, combined with cross-functional management skills to deliver meaningful impact.

This role requires leadership experience in managing global infrastructure supply chain teams. You have developed strategic sourcing plans and worked with partners to optimize outcomes. You have experience from planning through to fulfillment, from strategy to execution. You are experienced in leading global supply chain solution implementations and transformations.

If you like a fast-paced challenging environment where you will be essential to enable Meta’s unrivaled AI‑enabled infrastructure, this role is for you! Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
10+ years of experience in leading global, complex supply chain teams in infrastructure or related domain
10+ years of experience in deploying E2E Supply Chain Solutions (ERP, SCM, PLM, etc), in an infrastructure area Experience with ERP Applications including Demand Management, Supply Planning, S&OP/IBP, Inventory Management, Order Management, Procurement Demonstrated successful partnerships with internal and external stakeholders to influence and execute supply chain strategy and execution Proven experience to create and follow a structured communication strategy to keep internal and external stakeholders informed and engaged 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) Experience in partnering with OEM/ODM/CM manufacturers of compute, storage, network, and data center infrastructure Experience architecting and implementing supply chain solutions for Hyperscalers Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Master's degree in Computer Science, Computer Engineering, Industrial Engineering, Supply Chain Management, or a related field.