Technical Program Manager Intern, Reality Labs — 2027

Meta

Menlo Park (CA)

Presencial

USD 33.000 - 50.000

A tiempo parcial

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Mentorship program
Hands-on hardware experience
Networking events

Descripción de la vacante

Meta is seeking a Technical Program Manager Intern for Reality Labs in Menlo Park. You will own a scoped workstream on a live hardware program, build schedules, track dependencies and risks, and translate development details into cost, schedule, and resourcing implications for technical and business audiences.

You'll work with hardware engineers, finance, sourcing, and operations, paired with a mentor, and present outcomes to leadership at internship end.

Formación

  • Pursuing or recently completed degree in engineering, PM, or related field.
  • Strong analytical, communication, and cross-functional collaboration skills.
  • Interest in hardware development, manufacturing, and data-driven decision making.

Responsabilidades

  • Own a scoped workstream on a live hardware program.
  • Build schedules, track dependencies and risks.
  • Translate hardware development details into cost, schedule, and resourcing implications.
  • Work with hardware engineers, finance, sourcing, and operations.
  • Present results to leadership at the end of the internship.

Conocimientos

Program management
Cross-functional collaboration
Communication skills

Educación

Pursuing BS/MS in Engineering/CS

Herramientas

Excel
Data analysis tools

Descripción del empleo

Technical Program Manager Intern, Reality Labs — 2027# Technical Program Manager Intern, Reality Labs — 2027Menlo Park, CA Program Management+ 1 moreApply nowTeamReality 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, escalate blockers early, and translate hardware development and manufacturing detail into cost, schedule, and resourcing implications for both technical and business audiences.You will work directly with hardware engineers, technical and operations program managers, finance and sourcing partners, and functional leads, building real fluency in both how consumer hardware gets built and how it gets funded, sourced, and shipped. Most projects take a recurring operations problem and solve it with Meta's internal AI tools and data platforms. You will be paired with a mentor and present your results to leadership at the end of the internship.Projects are set closer to the start date based on where the business is. Examples of the kind of work you might do:Trace how a change at one point in the supply chain, such as a supplier commit shortfall or a demand swing, moves through to factory output, distribution center inventory, and channel availability, and build a tool that sizes the impact and lays out the options.Build a cost model for a part of unit cost that is hard to see today, such as logistics or post-sale support, and surface specific opportunities to reduce it.Reconcile a costed bill of materials across procurement, product records, and manufacturing partners, and make that reconciliation repeatable.Design workflow automation that eliminates manual handoffs and status-chasing, with proactive notification logic that surfaces exceptions before they hit program schedules.Build a view that pulls status, risks, and metrics from every in-market program into one place and finds the patterns no single program can see.Turn an operating playbook, such as how we qualify a change or launch a new market, into a structured process anyone on the team can run.
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