Commercial Sourcing Manager, CPU

Meta's Global Technical Sourcing and Commodity Management organization is responsible for building and sustaining the supply chain infrastructure that powers Meta's hardware portfolio - spanning data center compute, networking, storage, silicon, and consumer devices. As a Principal Sourcing Manager, you will operate at the highest individual contributor level, setting commodity strategy and supply chain direction across critical technology categories that underpin Meta's infrastructure and product roadmap. You will define sourcing frameworks, shape supplier ecosystems, and drive enterprise-level commercial outcomes in partnership with engineering, finance, legal, and operations. This role demands deep commodity expertise, executive-level supplier engagement, and the ability to navigate highly ambiguous, high-stakes sourcing environments with long-horizon impact.

Responsibilities

Define and own enterprise-wide commodity strategies for one or more critical technology categories, including supply base architecture, dual-sourcing frameworks, and long-range capacity planning Lead complex, multi-year commercial negotiations with strategic suppliers, including master supply agreements, joint development agreements, intellectual property terms, and pricing structures Partner with hardware engineering and product teams to influence component selection, design-for-cost trade-offs, and technology roadmap alignment across new product introduction cycles Develop and maintain executive-level relationships with C-suite and senior leadership at key suppliers to align on roadmaps, capacity commitments, and strategic partnership models Conduct total cost of ownership modeling and should-cost analysis to identify cost reduction opportunities and inform sourcing decisions across the commodity portfolio Identify and mitigate supply chain risks through proactive supplier qualification, geographic diversification, and contingency planning for critical components Provide commodity market intelligence and competitive benchmarking to inform internal stakeholders on technology trends, supply-demand dynamics, and pricing outlook Establish sourcing governance frameworks, best practices, and decision-making standards that elevate the capability of the broader sourcing organization Drive cross-functional alignment on sourcing decisions by synthesizing technical, commercial, and operational inputs into clear recommendations for leadership Lead supplier performance management programs, including scorecards, business reviews, and corrective action plans to ensure quality, delivery, and cost commitments are met

Qualifications

12+ years of experience in technical sourcing, commodity management, or supply chain strategy within the semiconductor, data center hardware, consumer electronics, or related technology industries Experience leading end-to-end commodity strategy development, including supplier selection, negotiation, contract execution, and ongoing supplier management for complex technology categories Experience structuring and negotiating large-scale commercial agreements, including master supply agreements, joint development models, and intellectual property licensing terms Experience conducting should-cost modeling, total cost of ownership analysis, and supply-demand forecasting to support sourcing decisions Experience engaging and influencing executive-level stakeholders at both supplier organizations and internal cross-functional partners including engineering, finance, and legal MBA or advanced degree in supply chain management, electrical engineering, or a related technical or business field Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience building or scaling sourcing functions, including developing team processes, playbooks, or commodity management frameworks adopted across an organization Experience sourcing advanced semiconductor components, custom silicon, or hardware systems in support of AI infrastructure or large-scale data center deployments 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)