Director, AI-Driven Manufacturing Enablement

Meta; Salem (OR); On-site; USD 245,000 - 309,000; Full time

Job summary

Meta's Manufacturing Engineering & Operations (MEO) invites a Director to lead AI-enabled transformation across our hardware production workflows. You will identify high-value AI/automation opportunities, define an actionable roadmap, and drive deployment from pilot to production while collaborating with internal AI platforms and external factory sites.

You will recruit and grow a team of applied AI/ML engineers and manufacturing technologists, establish success metrics, and deliver measurable

Qualifications

• 12+ years in manufacturing/operations and applied AI/ML/automation.
• Experience deploying AI/ML solutions in production or leading complex operations through tech-driven changes.
• Understanding of manufacturing workflows and where AI adds value.
• Experience building and leading technically ship-ready teams.
• Ability to operate in ambiguity and define the problem space.
• Experience transforming processes and driving adoption of new tools.
• Bachelor's degree in CS/IE/related field or equivalent practical deployment experience.

Responsibilities

• Conduct systematic workflow audits across MEO to identify high-value AI/automation opportunities.
• Develop and maintain an AI opportunity roadmap prioritized by impact, feasibility, and alignment.
• Scout adjacent organizations for tools/models that can be adapted for manufacturing use cases.
• Stay current on Meta's AI capabilities and translate to manufacturing applications.
• Build and ship AI-powered tools for MEO workflows (defect classification, AI-assisted DFx, predictive yield).
• Define success metrics and own end-to-end lifecycle from problem definition to deployment.
• Build partnerships with AI/ML infra teams and with Manufacturing Test Engineering.
• Collaborate with contract manufacturers on AI readiness and data infrastructure at factory sites.
• Recruit and develop a team of applied AI/ML engineers and technologists.
• Foster a culture of rapid prototyping, user-centric design, and measurable impact.
• Establish build-vs-buy-vs-adapt frameworks for AI tools.

Skills

Manufacturing operations

Applied AI/ML

Automation

Leadership

Ambiguity handling

Process transformation

Team building

Education

Bachelor's degree in Computer Science, Industrial Engineering, Manufacturing Engineering, or related field

Tools

MES

SPC

Historian databases

Job description

Meta's Manufacturing Engineering & Operations (MEO) invites a Director to lead AI-enabled transformation across our hardware production workflows. You will identify high-value AI/automation opportunities, define an actionable roadmap, and drive deployment from pilot to production while collaborating with internal AI platforms and external factory sites.

You will recruit and grow a team of applied AI/ML engineers and manufacturing technologists, establish success metrics, and deliver measurable