**Summary:**
The NPI Operations Program Manager (OPM) on the AI Devices team at Reality Labs has a unique and high-impact role, driving cutting-edge consumer electronics from development to mass production. This position is vital for bringing Meta's innovative new AI devices to life and requires demonstrated experience in engineering acumen to ensure high-quality product outcomes. The OPM bridges core product engineering teams with a broad spectrum of functional organizations — including Manufacturing Engineering, Hardware/Software Engineering, Quality Engineering, Supply Chain, Legal, and Finance — as well as external manufacturing partners and suppliers. The OPM serves as the backbone of program execution, ensuring that engineering trade-offs, manufacturing constraints, and system-level dependencies are rigorously understood, communicated, and resolved across complex, high-priority initiatives that directly influence the success of innovative products in a fast-paced, evolving environment.
**Required Skills:**
NPI Operations Program Manager Responsibilities:
1. Manage cross-functional execution of NPI and mass production initiatives for cutting-edge consumer electronics devices by integrating engineering, manufacturing, and supply chain plans, communicate risk and status clearly and succinctly to management, calling out key technical issues and presenting options for resolution to Leadership
2. Establish and lead on-site bring-up and integration activities at factory sites, coordinating with both internal engineering teams and external manufacturing resources to drive hardware/firmware integration milestones
3. Drive supplier and factory readiness activities to execute development builds (EVT, DVT, PVT) leading up to ramp, including development of process qualification plans, yield improvement strategies, and defining capacity and CapEx requirements — clearly identifying engineering deliverables and dependencies
4. Assess, analyze, consolidate, and communicate engineering risk and program status clearly and succinctly to management, calling out key technical issues and presenting data-driven options for resolution to the cross-functional executive team through new product reviews and other executive forums
5. Lead the tactical execution of go-to-market initiatives by working closely with key cross-functional engineering and operations teams, bring a technically informed point of view, guiding decisions related to manufacturing feasibility, test coverage, and quality readiness
6. Liaise across engineering and cross-functional teams to ensure product cost, manufacturability, reliability, product quality, and safety & compliance performance goals are met — with an understanding of underlying engineering trade-offs
7. Drive Operations team towards factory readiness with manufacturing partners to support MP (line layout, automation, test infrastructure, capacity, CapEx)
8. Work with Product Cost Engineers to track and drive product cost targets through MP, leveraging engineering BOM analysis and manufacturing process optimization
**Minimum Qualifications:**
Minimum Qualifications:
9. 7+ years' experience in an Operations-focused role for a Consumer Electronics device, with direct exposure to engineering development cycles (EVT/DVT/PVT)
10. Demonstrated experience in technical problem-solving and analytical skills, including the ability to interpret engineering data, test results, and manufacturing process metrics, advanced proficiency in Excel
11. Working knowledge of product architecture, engineering specifications, DFM/DFA principles, manufacturing processes (SMT, FA, test, packaging), and end-to-end supply chain for consumer electronics products
12. Experience working with and technically managing external suppliers, contract manufacturers, and JDM/ODM partners through build milestones
13. Proven project management experience, including cross-functional stakeholder management with engineering, quality, and manufacturing teams
14. Ability to communicate complex engineering concepts clearly and concisely to both technical and non-technical stakeholders
15. Experience navigating ambiguity in a fast-paced environment and prioritizing multiple competing workstreams to maximize engineering and business impact
**Preferred Qualifications:**
Preferred Qualifications:
16. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
17. Demonstrated ability to integrate AI tools to optimize and redesign engineering and operational workflows, driving measurable impact (e.g., efficiency gains, yield improvements, quality improvements)
18. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
19. 12+ years' experience in a technically oriented Operations Program Management role for a Consumer Electronics device
20. Experience managing JDM/ODM partners across different models of engagement, with ability to drive technical alignment on manufacturing processes and quality standards
21. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
22. Experience leading development and delivery of multiple high-volume hardware products through full NPI lifecycle
**Public Compensation:**
$168,000/year to $234,000/year + bonus + equity + 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 accommodations-ext@meta.com.
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