Director, AI Manufacturing Enablement

Meta; Sunnyvale (CA); Hybrid; USD 200,000 - 320,000; Full time

Job summary

Meta's Manufacturing Engineering & Operations (MEO) in Sunnyvale, CA seeks a Director of AI Manufacturing Enablement to lead a new team at the crossroads of manufacturing domain expertise and applied AI. You will define the AI strategy for hardware manufacturing and build a scalable enablement program that delivers measurable productivity gains.

You will conduct systematic workflow audits across MEO to identify high-value AI/automation opportunities, develop an opportunity roadmap, and partner

Job description

Director, AI Manufacturing Enablement# Director, AI Manufacturing EnablementSunnyvale, CA Program Management+ 2 moreApply nowMeta's Manufacturing Engineering & Operations (MEO) organization is responsible for bringing Reality Labs' most ambitious hardware products to life at scale. Across our functions — Manufacturing Operations, DFx, Manufacturing Test Engineering, and Quality — hundreds of workflows involve data analysis, decision-making, documentation, and cross-functional coordination that are ripe for AI-driven transformation.We are seeking a Director, AI Manufacturing Enablement to lead a dedicated team that systematically identifies, prioritizes, and deploys AI and automation solutions across the MEO organization and its adjacent partners. This leader will operate at the intersection of manufacturing domain expertise and applied AI, delivering measurable productivity gains, quality improvements, and workflow automation across real production environments.This is a founding leadership role reporting to the Director of MEO. You will build the team, define the AI strategy for manufacturing, and serve as the connective tissue between Meta's broad AI capabilities and the practical realities of hardware manufacturing.---## Director, AI Manufacturing Enablement Responsibilities* Conduct systematic workflow audits across all MEO functions to identify high-value AI/automation opportunities — categorized by efficiency gain, quality improvement, or full automation potential* Develop and maintain an AI opportunity roadmap prioritized by impact, feasibility, and strategic alignment* Scout adjacent organizations (SW Engineering, Data Science, XRT, Production Engineering) for existing tools, models, and frameworks that can be adapted for manufacturing use cases* Stay current on Meta's internal AI platform capabilities (LLMs, computer vision, anomaly detection, generative AI) and translate them into manufacturing applications