Program Manager III - 69568-1

Request ID: 69568-1
Shortlisting will complete EOD on 3/25
Start/End Dates: 4/20/2026 - 10/19/2026
Tax Work Location: US - CA - Remote (105700)
Job Title: Program Management - Program Manager III

Job Description: Internal Meta Job Title: Product operations analyst / manager
5 years of experience

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.

Must-have HARD skills:
1) Must have several years of AI experience
2) Must have prior product or engineering operations experience
3) Must have prior experience with innovation processes
4) Experience in a software or, preferably a hardware company with consumer electronics
5) Strong communication and collaboration skills: go getter personality
Good to have skills:
1) Prior Meta experience is an asset

We are looking for a Technology Operations & 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.

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 R&D organization Hands-on experience with AI application platforms, no-code/low-code database tools (e.g., AppSheet, Airtable), or AI-native development environments Background in wearable devices, AR/VR, consumer electronics, or related hardware domains

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 & 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.

Job Responsibilities:
• Coordinate projects, making detailed plans to accomplish goals and directing the integration of technical activities.
• Present and explain proposals, reports and findings to clients.
• Recruit employees, assign, direct, and evaluate their work, and oversee the development and maintenance of staff competence.
• Analyze technology, resource needs and market demand, to plan and assess the feasibility of projects.
• Confer with management, production and marketing staff to discuss project specifications and procedures.
• Review and recommend or approve contracts and cost estimates.
• Direct, review and approve product designs and changes.
• Consult or negotiate with clients to prepare project specifications.

Nice to Have Skills:
• Verbal and written communication skills, problem solving skills, attention to detail and interpersonal skills.
• Strong ability to work independently and manage one''s time.
• Strong leadership and mentoring skills necessary to provide support and constructive performance feedback.
• Strong knowledge of production processes, quality control, costs and other techniques for maximizing the effective manufacture and distribution of goods.
• Strong knowledge of business and management principles involved in strategic planning, resource allocation, and production methods.
• Strong knowledge of computer software, such as MS Word, MS PowerPoint, MS Project, Visio etc.

Typical day in the role:
This role deals with product or engineering operations, including:
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 & 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