Commercial Sourcing Manager, Custom Silicon

Meta; Menlo Park (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Meta is seeking a Staff-level Commercial Sourcing Manager for Custom Silicon to define and own the commodity and commercial strategy for Meta's custom silicon programs, spanning ASIC through COT engagements and IP providers, foundries, and memory suppliers.

You will partner with Silicon Engineering teams and executive stakeholders, developing long-term supplier ecosystems and risk plans while applying should-cost/value engineering and responsible AI practices to drive measurable impact in AI

Qualifications

• 8+ years of experience in technical or commercial sourcing, commodity management, or strategic procurement for semiconductors, complex electronic components, or hardware systems.
• Experience developing and executing multi-year commodity strategies that incorporate market analysis, total cost of ownership, supply risk assessment, and supplier segmentation.
• Experience leading end-to-end sourcing processes including RFx development, supplier evaluation, commercial negotiation, and contract execution for technically complex categories.
• Experience managing strategic supplier relationships and defining the metrics used to drive measurable improvements in supplier performance across cost, quality, delivery, and capacity.
• Experience building supply ramp and risk mitigation plans, and driving operational improvements with suppliers.
• Experience communicating sourcing strategy, commodity risk, and supplier performance data to cross-functional teams and executive stakeholders through written and verbal formats.
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements).
• 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.
• Experience sourcing custom silicon, ASIC, or SoC programs, or technical components for large-scale data center and AI infrastructure programs.
• Experience partnering with executive leaders at silicon, foundry, or memory suppliers.
• Track record of operating with resilience, personal accountability, and an ownership mindset through sustained ambiguity and competing priorities.
• Familiarity with commodity market dynamics affecting semiconductors, including leading-edge foundry capacity, advanced packaging, and memory.
• Experience applying should-cost modeling, design-to-cost, or value engineering methodologies to silicon and packaging categories.

Responsibilities

Skills

8+ years sourcing

Commodity strategy development

RFx & negotiations

Strategic supplier management

Supply ramp planning

Stakeholder communication

AI tools in sourcing

Responsible AI practices

AI skill development

Custom silicon sourcing

Executive partnership

Ownership mindset

Semiconductor market knowledge

Should-cost/value engineering

Education

MSEE or MBA

Job description

Meta's Technical Sourcing and Commodity Management organization is responsible for securing the components, materials, and supplier relationships that power Meta's hardware and infrastructure products. As a Staff-level Commercial Sourcing Manager for Custom Silicon, you will define and own the commodity and commercial strategy for Meta's custom silicon programs, shaping how Meta sources the silicon at the center of its AI and compute infrastructure. You will operate as the primary commercial interface between Meta's Silicon Engineering teams and the custom silicon supply base, spanning ASIC through COT engagements and including IP providers, foundries, advanced packaging and test suppliers, and memory suppliers. You will operate with significant autonomy, influencing long-term sourcing direction, driving cross-functional alignment across engineering, operations, planning, and finance, and building the supplier ecosystem that enables Meta's most ambitious silicon programs.

• 8+ years of experience in technical or commercial sourcing, commodity management, or strategic procurement for semiconductors, complex electronic components, or hardware systemsExperience developing and executing multi-year commodity strategies that incorporate market analysis, total cost of ownership, supply risk assessment, and supplier segmentation
• Experience leading end-to-end sourcing processes including RFx development, supplier evaluation, commercial negotiation, and contract execution for technically complex categories
• Experience managing strategic supplier relationships and defining the metrics used to drive measurable improvements in supplier performance across cost, quality, delivery, and capacity
• Experience building supply ramp and risk mitigation plans, and driving operational improvements with suppliers
• Experience communicating sourcing strategy, commodity risk, and supplier performance data to cross-functional teams and executive stakeholders through written and verbal formats
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• 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
• Experience sourcing custom silicon, ASIC, or SoC programs, or technical components for large-scale data center and AI infrastructure programs
• Experience partnering with executive leaders at silicon, foundry, or memory suppliers
• Track record of operating with resilience, personal accountability, and an ownership mindset through sustained ambiguity and competing priorities
• MSEE or MBA
• Familiarity with commodity market dynamics affecting semiconductors, including leading-edge foundry capacity, advanced packaging, and memory
• Experience applying should-cost modeling, design-to-cost, or value engineering methodologies to silicon and packaging categories