Supply Planner, Reality Labs

Reality Labs (RL) at Meta develops and builds cutting-edge Virtual and Augmented Reality products and related Accessories. The role of a Supply Planner is high-impact and complex. The Supply Planner is responsible for end-to-end supply chain planning and will act as the single point of contact for global supply availability for the products in their portfolio. This spans capacity and factory scheduling, leading the supply input into the weekly (tactical) and monthly (strategic) Sales & Operations Planning (S&OP) processes, managing ex-factory and supply commit processes at contract manufacturing sites, and steering all stages of inventory planning from New Product Introduction (NPI) to End of Life (EOL) for hero products and accessories. The role requires the ability to formulate and solve constrained optimization problems across multi-tier supply networks, model yield dynamics for technically complex modules, incorporate component-level technical specifications — such as battery degradation behavior, etc. — that impact build feasibility and product longevity across the program lifecycle, and develop a deep understanding of NPI ramp plans to align production ramp-up schedules with yield, capacity readiness, and launch timelines.
Supply Planner, Reality Labs Responsibilities
Serve as the single point of contact for global supply planning and product availability for the products in their portfolio
Engage in the monthly S&OP activities for assigned products, providing recommendations for finished goods, materials, and capacity plans informed by yield-adjusted output models and constraint analysis
Engage in the weekly S&OE process for assigned products, providing information to cross-functional teams to support supply and demand planning objectives
Develop weekly capacity/material constrained production plans (Build Plan/Master Production Schedule) to fulfill the requirements created in the Demand Plan. Formulate these as constrained optimization problems — defining objective functions (e.g., maximize fill rate, minimize total landed cost), decision variables (allocation quantities, line assignments, build sequences), and constraints (capacity limits, component lead times, MOQs, contractual commitments) — and leverage internal planning tools and solvers to arrive at optimized solutions
Accountable for creating, communicating, and monitoring detailed requested ship plans at the contract manufacturing sites (forecast, commitments, build plans, PO creation)
Understand multi-channel demand signals for the products in the assigned portfolios and provide actionable recommendations to respond to and adjust trends (e-commerce, retail, enterprise, non-revenue)
Accountable for the identification and resolution of supply issues, including assisting in sourcing materials, communication, escalation, and coordination of resolution
Develop and manage inbound priorities using constraint-based allocation logic to ensure critical path materials are sequenced for maximum production efficiency
Incorporate component-level technical specifications — such as battery cycle life, degradation curves, and state-of-charge thresholds — into planning models to ensure finished goods inventory is built and sustained across the entire program lifetime while maintaining desired charging levels for a high-quality customer experience (CX)
Assess and model yield rates for technically complex modules (e.g., optical waveguides, display stacks, battery cells) to derive accurate production output forecasts
Account for yield ramp curves during NPI, steady-state yield variability in mass production, and fallout rates at key process steps to ensure build plans reflect achievable output rather than theoretical capacity
Partner with NPI Operations and factory teams to develop optimized capacity plans that balance production throughput requirements against overall Cap Ex investment, ensuring capital-efficient line configurations and equipment utilization across the manufacturing network
Partner with Channel Operations, NPI Operations, Sales, and other cross-functional teams to plan and execute successful product launches — aligning supply readiness, channel fill requirements, regional allocation strategies, and go-to-market timelines
Create and maintain inventory plans for finished goods across regional DCs considering operational and fulfillment service policies, financial targets, and cost-effective transportation considerations
Partner with Contract Manufacturing Operations to ensure that site capacities are properly modeled and optimized across the network in meeting customer demand, incorporating line-level throughput constraints and changeover times into planning models
Partner with Sourcing teams to develop sourcing strategies for technically complex modules — providing demand signals, and supply risk inputs that inform supplier qualification, dual-source decisions, and capacity reservation strategies
Accountable for supply chain key performance indicators (KPIs) associated with the assigned product portfolio — including plan adherence, inventory turns, and fill rate
Lead automation and development initiatives related to planning systems and tools — including solver integration, optimization model development, scenario simulation engines, and data pipeline enhancements that improve planning accuracy and decision speed

Minimum Qualifications:

4+ years of experience in Supply Planning roles, preferably in Consumer Electronics, with a thorough understanding of key modules and components (e.g., battery systems, optical assemblies, display stacks) and their impact on planning strategies across the product lifecycle
Experience leading or participating in S&OP and S&OE processes, including providing supply plan recommendations and constraint-based capacity inputs
Prior experience in scenario modeling and constrained optimization — ability to build models with large data sets, define objective functions and constraints, and leverage optimization solvers to drive supply chain decisions
Experience in NPI launch planning, including cross-functional coordination with Operations, Channel, and Sales teams to align supply readiness, channel fill strategies, and go-to-market timelines for successful product launches
Proficient in ERP systems (specifically related to planning, order management, allocation, and fulfillment)

Proficient in Excel and PowerPoint:

Experience retrieving insights and reports from data and analytics platforms (e.g., Tableau, Business Intelligence hubs)
Strong communication and collaborative skills, with experience in presenting to and influencing management
Experience driving decision-making through fact-based analysis and rationale
Ability to prioritize competing workstreams based on impact, deadlines, and stakeholder needs while maintaining accuracy and follow-through
University BS in Supply Chain, Industrial Engineering, Operations Research, or a related field

Preferred Qualifications:

Experience integrating AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience partnering with Sourcing teams on supply strategies for technically complex or constrained components
Experience with global manufacturing operations and contract manufacturer (CM) management, including capacity modeling, NPI ramp planning, and Cap Ex optimization across multi-site networks
Certification in supply chain/materials management (e.g., APICS CSCP/CPIM)
Experience developing optimization models, solver-based tools, scenario simulation engines, or automation solutions for supply chain planning systems
Experience ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience working with advanced planning systems to generate constrained build plans that account for capacity, material availability, yield rates, ship modes, and component-level technical specifications (e.g., battery lifecycle constraints)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
University MS in Supply Chain, Industrial Engineering, Operations Research, or a related field
5+ years of experience in Supply Planning roles, preferably in Consumer Electronics with direct exposure to technically complex hardware products (e.g., VR/AR devices, wearables, display devices or similar multi-module assemblies)
Experience planning and executing NPI product launches end-to-end, coordinating supply readiness across Operations, Channel, Sales, and cross-functional stakeholders
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $121,000/year to $177,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.
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