Silicon Partnerships Manager

**Summary:** Meta is seeking a Silicon Partnerships Manager to drive strategic engagement with external silicon partners and semiconductor suppliers supporting Meta's custom silicon programs across AR/VR, AI infrastructure, and consumer hardware products. In this role, you will serve as the primary interface between Meta's silicon engineering teams and external chip vendors, managing technical and commercial relationships to ensure partner readiness, roadmap alignment, and on-time delivery of silicon solutions that power Meta's next-generation devices and data center platforms. **Required Skills:** Silicon Partnerships Manager Responsibilities: 1. Serve as the primary program management interface between Meta's internal silicon engineering teams and external semiconductor partners across custom ASIC, SoC, and IP licensing engagements 2. Define and manage joint program schedules with silicon partners, tracking milestones from architecture definition through tape-out, bring-up, qualification, and mass production readiness 3. Identify, assess, and communicate program risks related to silicon partner execution, including design schedule slips, process technology readiness, and supply chain constraints 4. Collaborate with silicon architecture, design, and verification teams to translate internal technical requirements into partner deliverables and contractual commitments 5. Drive partner readiness reviews and executive-level status communications, synthesizing complex technical and operational data into clear, actionable updates for leadership 6. Coordinate cross-functional alignment across hardware engineering, sourcing, legal, and operations teams to ensure silicon partner agreements and deliverables support product launch commitments 7. Develop and refine engagement models, escalation paths, and governance frameworks for managing multiple concurrent silicon partner relationships 8. Analyze tradeoffs across partner roadmap options, process node selections, and IP sourcing strategies to inform and influence internal decision-making 9. Track and report on partner performance metrics including schedule adherence, quality outcomes, and technical milestone completion to drive continuous improvement 10. Support negotiation of technical scopes of work and partnership agreements in collaboration with sourcing and legal counterparts **Minimum Qualifications:** Minimum Qualifications: 11. 6+ years of experience in program management, technical partnership management, or engineering program management within the semiconductor or consumer electronics industry 12. Experience managing external silicon or semiconductor supplier relationships across multiple phases of chip development, including design, tape-out, bring-up, and qualification 13. Experience translating complex silicon engineering requirements into partner deliverables, schedules, and risk mitigation plans 14. Experience using data-driven approaches to track program health, identify execution gaps, and drive resolution across cross-functional teams 15. Experience communicating technical program status and tradeoffs to engineering and executive stakeholders through written and verbal formats **Preferred Qualifications:** Preferred Qualifications: 16. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 17. Experience with custom ASIC or SoC development programs in the context of consumer hardware, AR/VR devices, or AI accelerator platforms 18. Track record of driving alignment between internal silicon roadmaps and external partner capabilities to meet product launch commitments 19. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 20. Experience managing silicon partnerships across geographically distributed teams and international suppliers 21. Familiarity with semiconductor process technology selection, IP licensing structures, and foundry engagement models 22. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) **Industry:** Internet