Commercial Sourcing Manager, Strategic Silicon

Responsibilities

• Develop and execute sourcing strategies for strategic silicon and firmware components — owning vendor selection, negotiation, contracting, and long-term commodity roadmaps that ensure supply continuity, cost optimization, and technology alignment with Meta's AI/ML infrastructure plans
• Lead strategic supplier management across silicon vendors, IP licensors, and firmware partners — including scorecards, business reviews, should-cost modeling, risk mitigation (capacity assurance, lead-time management, geopolitical exposure), and total cost of ownership improvement
• Drive cross-functional collaboration with Meta engineering, ODM partners, and capacity planning teams to influence component selection, architecture decisions, and design-for-cost/supply initiatives across all strategic silicon categories
• Provide semiconductor market intelligence — tracking technology evolution, fab/foundry dynamics, emerging standards, and supply-demand trends — to inform strategic direction and identify future growth sourcing areas
• Perform end-to-end sourcing execution, including RFI/RFQ/RFP leadership, supply market analysis, new source qualification, prototype sourcing for NPI, and supplier development aligned with Meta's technology roadmap

Requirements

• BA/BS or equivalent in Engineering (Electrical, Computer, Materials Science, Mechanical), Supply Chain, or business-related field with at least 12 years of relevant experience
• 10+ years of sourcing management or supply chain management experience in commercial sourcing roles with direct semiconductor, silicon, and/or electronic component categories
• Technical understanding of semiconductor technologies, silicon component categories (interface ICs, controllers, programmable logic, security modules), and their role in server/data center architectures
• Demonstrated knowledge of silicon supply chain capacity, cost, and lead-time drivers
• Demonstrated results of improving supply chain and supplier performance, including the use of cost models and objective-based performance measures
• Experience working with ODMs and contract manufacturers in the electronics/server hardware industry
• Proven track record of developing and executing commodity strategies at scale
• Experience presenting sourcing strategies and recommendations to leadership and influencing decisions through data-driven proposals
• Proven track record of cross-functional alignment across engineering, supply chain, and commercial functions

Qualifications

• Minimum of 12 years of relevant experience
• Bachelor’s degree in Engineering (Electrical, Computer, Materials Science, Mechanical), Supply Chain, or business-related field
• Technical understanding of semiconductor technologies, silicon component categories, and their role in server/data center architectures
• Experience working with ODMs and contract manufacturers in the electronics/server hardware industry
• Proven track record of developing and executing commodity strategies at scale
• Experience presenting sourcing strategies and recommendations to leadership and influencing decisions through data-driven proposals
• Proven track record of cross-functional alignment across engineering, supply chain, and commercial functions

Skills

• Deep technical domain knowledge in semiconductor technologies
• Experience with data center or hyperscale infrastructure hardware sourcing at scale
• Experience adhering to and implementing responsible, ethical AI practices
• Experience with AI tools to optimize/redesign workflows and drive measurable impact
• Experience with programmable logic (CPLD/FPGA) sourcing and supplier ecosystems
• Familiarity with industry standards and qualification processes for silicon components in data center applications
• Experience with firmware sourcing (BIOS, BMC) and associated IP/licensing models
• Understanding of security in silicon (HSM, RoT) and compliance requirements
• Experience with interconnect standards (CXL, PCIe Gen 5/Gen 6, NVMe)
• Experience with emerging silicon technologies for AI/ML accelerators, high-speed networking, or next-generation server architectures
• Experience with emerging AI technologies and staying current with emerging AI technologies

Benefits

$179,000/year to $249,000/year + bonus + equity + benefits