Technical Program Manager Intern, Global Supply Management — Reality Labs (2027)

Summary:

Reality Labs builds Meta's hardware: Ray-Ban Meta and Oakley Meta AI glasses, Meta's first-party AI glasses, Meta Quest headsets, wrist wearables, and other AI devices including Muse Charm. The Global Supply Management (GSM) team sources the components that go into them. We set sourcing strategy, manage supplier cost and capacity, and keep production supplied through full PDP milestones and ramp.This internship covers two tracks within GSM — Electrical & Electro-Mechanical (EE/EM) and Strategic Silicon — with placement on a specific commodity team from day one.About Electrical & Electro-Mechanical (EE/EM)The EE/EM team sources the electrical and electro-mechanical components across Reality Labs hardware, such as speakers, fans, passive components, PCBs and cables. The team sets sourcing strategy by part category, manages supplier cost and capacity, and keeps production supplied through launch and ramp, working closely with engineering, quality and operations partners.About Strategic SiliconThe Strategic Silicon team sources the key silicon components across Reality Labs hardware, including SoCs, ASICs, memory, sensors, connectivity and analog ICs, and supports our system-in-package (SiP) engagements, custom silicon and IP needs. The team sets sourcing strategy based on strategic engagement, technology capability, pricing, capacity, engineering and quality, and manages supplier cost and capacity across the full program lifecycle from early engagement through NPI, ramp, sustaining and end of manufacturing.As an intern, you will join the team from day one and own one project from start to finish. The project comes from work the team is doing now, so what you build will be used.Track-specific project examplesEE/EM: benchmark an electro-mechanical part category across suppliers and recommend a dual-source qualification path, or build a market intelligence view of supplier capacity and price direction refreshed on a regular scheduleStrategic Silicon: build a supply and capacity view for a silicon commodity across the program lifecycle, or model the cost and lead-time trade-offs of a packaging or SiP sourcing decision

Required Skills:

Technical Program Manager Intern, Global Supply Management — Reality Labs (2027) Responsibilities:

1. Own a scoped project from definition through final deliverable, and present your findings and recommendations to team leadership

2. Support commodity sourcing activities, including supplier RFQs: gathering quotes, organizing bid comparisons, and supporting award recommendations with Engineering, Quality and Technical Operations

3. Build a bottom-up should-cost model for a key part and test it against supplier quotes, and support part cost modeling across material, conversion and tooling or non-recurring engineering

4. Write a sourcing strategy for a part category, covering supplier landscape, cost and lead-time benchmarks, and the cost of qualifying a new source

5. Map where we rely on a single supplier, measure the risk by value, lead time and qualification cost, and recommend when a second source should be required

6. Build an early-warning view of clear-to-build (CTB) status that compares weeks of supply against demand, and support supply readiness work such as ramp planning, risk-buy strategy, and qualification

7. Set up a central spend dashboard or an automated supplier scorecard, and help monitor supplier performance on delivery, quality and yield, including containment and recovery tracking

8. Use Meta's internal AI tools to automate analysis, reporting and data collection, and build dashboards that track supply mapping, spend, capacity and other key metrics

9. Partner with sourcing managers, product cost engineering and engineering on live sourcing decisions

10. Prepare the analysis and materials behind sourcing decisions and supplier negotiations

Minimum Qualifications:

Minimum Qualifications:

1. Currently pursuing a Bachelor's or Master's degree in Engineering (Electrical, Mechanical, Industrial or related), Supply Chain, Operations Research, Business Analytics, Operations or a related field

2. Foundational knowledge of manufacturing processes and supply chain through coursework, projects or a prior internship

3. Experience analyzing data in Excel or Google Sheets, SQL or Python

4. Analytical skills, with the ability to turn analysis into clear written and spoken recommendations

5. Experience working through unclear problems and setting your own priorities

6. Intent to return to full-time degree program after completion of the internship

7. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

1. Familiarity with silicon, electronic or electro-mechanical parts and how they are made, such as fab, OSAT, SMT, injection molding or assembly

2. Foundational knowledge of manufacturing processes such as fabrication, packaging, molding, machining, stamping or finishing

3. Experience building cost models, dashboards or automated reports, for example in Tableau, Power BI or Python

4. Experience using AI or LLM tools to automate analysis or workflows

5. Interest in consumer electronics hardware and global manufacturing

Public Compensation:

$6,688/month to $10,800/month + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].