Director, AI Manufacturing Enablement

Meta'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
Build and ship AI-powered tools for MEO workflows including automated defect classification, AI-assisted DFx review, predictive yield modeling, intelligent test sequencing, natural language interfaces for manufacturing data queries, and automated reporting and documentation
Define success metrics for each deployment (time saved, error reduction, decision quality improvement) and own the end-to-end lifecycle from problem definition through production deployment and iteration
Build partnerships with Meta's AI/ML infrastructure teams to leverage internal platforms and partner with Manufacturing Test Engineering on AI-enabled test optimization
Collaborate with contract manufacturers on AI readiness, data infrastructure, and tool deployment at factory sites
Recruit, hire, and develop a team of applied AI/ML engineers and manufacturing-domain technologists
Build a team culture that values rapid prototyping, user-centric design, and measurable impact
Establish frameworks for evaluating build-vs-buy-vs-adapt decisions for AI tools

Minimum Qualifications:

12+ years of experience across manufacturing/operations and applied AI/ML/automation, with demonstrated depth in at least one and working fluency in the other, including at least 5 years in a leadership role
Experience deploying AI/ML solutions in production environments, or diverse leadership experience leading complex operations through changes involving the introduction of technology to improve productivity and quality of decision making
Understanding of manufacturing workflows — assembly, test, quality, supply chain — and where AI adds genuine value
Experience building and leading technical teams that ship products/tools iteratively
Experience operating in ambiguity — defining the problem space, not just solving well-scoped problems
Experience in process transformation and organizational change management — driving adoption of new tools and ways of working across engineering teams
Bachelor's degree in Computer Science, Industrial Engineering, Manufacturing Engineering, or a related technical field, or equivalent practical experience demonstrated through a track record of leading process transformation, automation, or applied technology deployment in a manufacturing or operations environment

Preferred Qualifications:

Experience with manufacturing data systems (MES, SPC, historian databases) and the data quality challenges they present
Experience in consumer electronics or precision hardware manufacturing environments
Familiarity with large-scale AI/ML platforms or similar large-scale AI platforms
Hands-on familiarity with LLMs, computer vision, time-series anomaly detection, or reinforcement learning in industrial settings
Track record of building new functions or teams from zero — particularly 'AI for X' teams embedded in non-AI organizations

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $245,000/year to $309,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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