Technical Program Manager Intern, Reality Labs — 2027

Meta; Seattle (WA); On-site; USD 75,000 - 121,000; Full time

Job summary

Meta is seeking a TPM Intern in Reality Labs to own a scoped workstream on a live program, coordinating across engineering execution and business outcomes. You will build schedules, track dependencies and risks, and drive accountability with cross-functional partners.

The role emphasizes data-driven decision making, cost and schedule awareness, and effective communication. You will work on translating technical details into business implications, using internal AI tools to improve processes and

Qualifications

• Currently in final year of Bachelor’s or pursuing a Master’s in Engineering, Supply Chain, Operations or related field.
• Experience framing and solving ambiguous analytical problems through coursework, projects, or work experience.
• Strong communication and execution skills demonstrated in coursework, projects, or work experience.
• Experience working with data in spreadsheets, SQL, or a scripting language to support recommendations.
• Knowledge of supply chain, manufacturing, logistics, or operations concepts from coursework or projects.
• Experience identifying changes to improve systems and processes.
• Experience working on a team or cross-functional project and presenting findings.
• Intention to return to a full-time degree program after completion of the internship.
• Must obtain work authorization in country of employment at the time of hire.

Responsibilities

• Own a scoped project end to end: frame the problem, define success, deliver a solution, and present results to leadership.
• Create project structure and a communication plan; drive progress accountability.
• Gather requirements from cross-functional partners across engineering, operations, PM, sourcing, trade, and vendor teams.
• Document tradeoffs and essential vs optional requirements in scoping.
• Hit established program goals with partner teams.
• Build and maintain schedules and roadmaps; track dependencies and risks; escalate blockers early.
• Analyze demand, supply, inventory, build plans, and BOM cost to identify risks and actions.
• Map processes and product structures to simplify, automate, or improve reliability.
• Identify improvement opportunities and implement changes for efficiency and traceability.
• Use internal AI tools to build repeatable solutions across products.
• Translate between technical and business audiences; communicate status, risks, and asks.
• Participate in technical discussions and help resolve issues.
• Document workflows and hand off a sustainable solution at internship end.

Skills

Project management

Requirements gathering

Scheduling & roadmaps

Data analysis

AI tooling

Communication

Cross-functional collaboration

Education

Bachelor’s or Master’s in engineering, supply chain, operations management, information systems, business analytics or related field

Tools

SQL

Spreadsheets

Python

Jira

Confluence

Job description

Summary:

TeamReality Labs Devices designs, builds, and ships Meta's consumer hardware, including AI glasses, Meta Quest, and the AR/VR devices on our roadmap. Hardware engineering, program management, manufacturing operations, supply chain, and logistics all sit in one organization, working the same product roadmap. A product passes through all of it, from prototype builds through mass production to customers in markets around the world, and it stays our responsibility from launch through end of life.The Devices Product Engineering Operations team runs the operational backbone for those programs. We own the processes, systems, and reporting that connect engineering execution to business outcomes, partnering across hardware engineering, program management, finance, sourcing, and operations.RoleAs a TPM intern you will own a scoped workstream on a live program, sitting at the intersection of engineering execution and business outcomes. You will build schedules, track dependencies and risks, ...

Required Skills:

Technical Program Manager Intern, Reality Labs — 2027 Responsibilities:

1. With direction from your manager, own a scoped project end to end: frame the problem, define how success will be measured, deliver a working solution, and present results and recommendations to leadership.


2. Create project structure, build a communication plan, and drive accountability for progress on your workstream.


3. Gather requirements from cross-functional partners across engineering, operations, program management, sourcing, trade, and vendor teams.


4. Distinguish essential requirements from optional ones and document the tradeoffs made when scoping the project.


5. Work with partner teams to hit established program goals.


6. Build and maintain schedules and roadmaps, track dependencies and risks, and **escalate blockers early.**


7. Analyze supply chain and financial data, such as demand, supply, inventory, build plans, and bill of materials cost, to find risks and opportunities and recommend actions.


8. Map processes, supply chains, and product structures to find where work can be simplified, automated, or made more reliable.


9. Identify a process or tooling improvement opportunity and execute a change that improves efficiency, traceability, or cost.


10. Use Meta's internal AI tools and certified data sources to build solutions that are repeatable across products rather than one-off analyses.


11. Translate between technical and business audiences, converting engineering detail into cost, schedule, and resourcing implications and the reverse.


12. Communicate clearly and concisely in writing and in reviews, including status, risks, trade-offs, and asks.


13. Participate in technical discussions, highlight problems early, and pull in the right people to resolve them.


14. Document workflows and hand off a sustainable, supportable solution at the end of the internship.

Minimum Qualifications:

Minimum Qualifications:

1. Currently in the final year of a Bachelor's degree, or in the process of obtaining a Master's degree, in Engineering (such as Industrial, Mechanical, Electrical, Manufacturing, Computer Science, or Operations Research), Supply Chain, Operations Management, Information Systems, Business Analytics, Business, or a related field


2. Experience framing and solving ambiguous, analytical problems through coursework, research, projects, or work experience


3. Communication and execution skills, demonstrated through coursework, projects, or work experience


4. Experience working with data in spreadsheets, SQL, or a scripting language to reach and support a recommendation


5. Knowledge of supply chain, manufacturing, logistics, or operations concepts through coursework, projects, or work experience


6. Experience identifying changes to improve systems and processes, through coursework, projects, or work experience


7. Experience working on a team or cross-functional project and presenting findings in writing and in person


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


9. 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. Experience gathering requirements from multiple stakeholders and translating them into a defined scope


2. Experience building project roadmaps or schedules and breaking down work into actionable items


3. Experience prioritizing competing stakeholder requirements in an ambiguous, fast-changing environment


4. Demonstrated technical and business acumen together, through a dual degree, coursework, projects, or work experience


5. Exposure to consumer electronics hardware, bills of materials, or cost methods such as should-cost and design-to-cost


6. Familiarity with hardware development lifecycles or stage-gate processes such as Product Development Process (PDP)


7. Exposure to business operations work such as budgeting, procurement, or supply planning


8. Experience using Python, SQL, or data visualization to automate an analysis or a workflow, including dashboarding and operational reporting


9. Experience building process automation, workflow tooling, or data pipelines, including notification and alerting systems


10. AI fluency, meaning comfort using AI tools in daily program management work such as drafting, summarizing, research, and status synthesis


11. Experience integrating AI or ML tools into business processes or tooling to drive measurable impact, such as automating status reporting, surfacing risks from tracker data, or reducing manual coordination overhead


12. Experience with project tracking tools such as Jira and Confluence, or with data and dashboard tooling


13. Interest in AR/VR, wearables, or smart glasses

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 [e-mail].