Job Information
Meta NPI Operations Program Manager in Redmond, Washington
Summary:
The NPI Operations Program Manager (OPM) role at Reality Labs offers in the Wearables Devices team, a unique and dynamic opportunity to be at the forefront of cutting-edge consumer electronics product development and mass production. This role is highly impactful, bridging core product teams with a broad spectrum of functional organizations, including Manufacturing, Engineering, Quality, Supply Chain, Legal, and Finance, as well as external suppliers. The OPM is a key driver in ensuring seamless execution of 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:
Manage cross-functional execution of advanced NPI and strategic initiatives for cutting-edge consumer electronic devices by integrating plans and communicating risks & status updates clearly and succinctly to management, calling out key issues and presenting options for resolutions to Reality Labs Leadership
Establish and lead a system to intake and integrate Pre-Discovery phase of NPIs into the roadmap and represent the different teams on driving alignment from an Operations point of view
Drive supplier strategy with cross functional partners to deliver proper allocation, integration, and potential ramp challenges based on the overall roadmap
Execute development builds leading up to ramp, development of process qualifications plans, and defining capacity and Capex requirements, clearly identifying deliverables and dependencies
Lead the tactical execution of go-to-market initiatives for our products by working closely with key cross-functional teams
Bring a point of view to the team, informing and guiding decisions related to these initiatives
Drive Operations team towards factory readiness with manufacturing partners to support MP (line layout, automation, capacity, CapEx)
Work with Product Cost Engineers to track and drive product cost targets with manufacturing partners
Act as the first Operations entry point for new Wearables initiatives during pre-discovery / pre-development phases
Drive alignment on problem statement, scope boundaries, assumptions, milestones, and success metrics before plans are committed
Define and align minimum operational requirements to proceed (e.g., manufacturability intent, test/manufacturing readiness expectations, quality gates, supply continuity considerations, CAPEX implications, tooling/data needs)
Identify early risks and constraints (supplier capability, process maturity, capacity, cost) and drive mitigation plans and decisions
Drive strategic initiatives that improve how Wearables NPIs is executed (standardization, operating cadence, readiness criteria, lessons-learned reuse)
Align priorities and tradeoffs across programs to maximize portfolio outcomes (schedule, quality, cost, capacity)
Create scalable playbooks and mechanisms that reduce duplicated work across teams
Ensure internal tools/databases are the single source of truth for scope, schedules, decisions, dependencies, readiness status, and key manufacturing metrics
Define data standards (taxonomy, owners, update SLAs) and enforce adoption so reporting is decision-grade and auditable
Build dashboards/operating reviews that drive action, not just status
Make AI the default approach to reduce operational toil and improve decision velocity and predictability across Wearables NPI execution
Deploy/scale AI-enabled workflows such as: plan & status synthesis, meeting-to-actions, risk signal extraction, dependency mapping, change-log summarization—paired with traceability and quality controls
Define success metrics (time saved, cycle-time reduction, milestone predictability, issue aging reduction) and drive adoption across teams
Minimum Qualifications:
Minimum Qualifications:
BS or higher in Business, Engineering, Supply Chain/Operations discipline or equivalent experience
10+ years in operations program management, hardware NPI, manufacturing operations, or equivalent cross-functional execution roles
Demonstrated success leading high-ambiguity, high-complexity hardware programs across multiple teams and external partners
Broad factory/supplier engagement experience (FATP/JDM/ODM/CM environments) and fluency in manufacturing readiness and performance metrics
Extensive data discipline and experience establishing a system-of-record and operating cadence
Proven problem solving and analytical skills leveraging AI tools and techniques
Knowledge of product features/specifications, manufacturing processes and the supply chain for consumer electronics products
Preferred Qualifications:
Preferred Qualifications:
Masters degree (e.g. MBA, Engineering, or other relevant field) with experience in management consulting, strategy, business operations, corporate strategy or similar discipline
12+ years' experience in an Operations-focused Program Management role for Consumer Electronics devices
Experience leading development/delivery of multiple high-volume products
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Public Compensation:
$199,000/year to $272,000/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.