Job Title: Technology Operations & AI Automation Program Manager III
Duration: 6 Months
Location: Remote
 
Summary:
The main function of a non-IT program manager is to plan, direct, or coordinate activities in such fields as engineering, research and development, financial systems and product roll-out, etc., or any other non-IT based project.
Reality Labs is building the next generation of wearable AI devices. Our hardware engineering organization manages a portfolio of emerging technologies through a structured innovation lifecycle — taking new ideas from early feasibility through production readiness.
 
We are looking for a Technology Operations s AI Automation Program Manager to transform our technology innovation operations. This role manages the end-to-end operational processes that track, report on, and govern our technology portfolio — and then systematically automates those processes using AI. This role will work closely with hardware engineering leads, program managers, product managers, business operations, and finance teams to transform a manual, labor-intensive operations function and make it self-sustaining through intelligent automation. You will start by running the operations, then progressively replace manual workflows with AI-driven pipelines until the process largely runs itself.
 
Job Day-to-Day Responsibilities

• Maintain and Automate Core Operations: Maintain and execute the existing operational process for a portfolio of 15–20 active technology innovation projects, using this hands-on execution to thoroughly document and prepare all existing workflows (including progress tracking, milestone reporting, stakeholder updates, and executive dashboards) for subsequent AI-driven automation.
• Design s Build the Automation Core: Architect, develop, and deploy AI-powered automation pipelines to systematically replace manual operational workflows (e.g., data reconciliation, status tracking, and report generation) for the technology innovation portfolio.
• Establish a Unified Data Foundation: Consolidate fragmented data sources (spreadsheets, databases, slide decks, chat threads) into a unified, automated data intake and processing that serves as the central source of truth for the organization.
• Implement Central Intelligence: Lead the selection and implementation of an AI-augmented database platform that serves as the central intelligence layer for the technology portfolio
• Drive process adoption: Champion adoption of new automated processes across cross-functional hardware engineering teams, ensuring that new workflows are used effectively
• Deliver AI-generated insights: Provide leadership with regular, AI-generated insights on portfolio health, engineering investment efficiency, technology success rates, and resource forecasting

 
Minimum Qualifications

• 5+ years of experience in product or technology operations, engineering operations, or program management in a hardware or technology development environment
• Demonstrated experience building operational automation using AI/LLM tools (e.g., building AI agents, writing prompts and skills for LLM-based workflows, or deploying AI-assisted data pipelines)
• Experience designing data flows from intake to output — forms, databases, dashboards, and automated reports
• Track record of driving process adoption across engineering or cross-functional teams
• Strong communication skills — ability to translate operational data into actionable insights for both engineering teams and senior leadership
• Self-directed work style with comfort owning an entire operational domain independently

 
Preferred Qualifications

• Experience with stage-gate or milestone-based technology development processes (e.g., NPI, technology readiness levels, innovation pipelines)
• Familiarity with Meta's internal tools and workflows
• Experience with portfolio management, budget forecasting, or program operations at scale in a hardware RCD organization

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