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Meta's Reality Labs (RL) is seeking a Logistics Operations Program Manager (OPM). The OPM will enable RL product roadmaps by managing and scaling prototype fulfillment operations. This professional will be responsible for end-to-end execution of prototype device movements—translating ambiguous product needs into operational plans, ensuring secure and compliant handling, and delivering predictable service levels across a global network. The OPM will improve cycle time, reliability, and customer experience for engineering and product teams, while strengthening operational mechanisms, metrics, and tooling to support rapid iteration in a high-change environment.
Job Responsibility:
Own prototype fulfillment operational programs end-to-end (intake, prioritization, planning, execution, and post-mortems) to enable RL product development timelines
Be the primary liaison between broad internal teams and third-party logistics service providers
Partner cross-functionally with Product Engineering, Prototype Programs, Security, Shipping Vendors, and Internal customers to align requirements and deliver on-time, compliant shipments
Influence vendor operating mechanisms (Process documents, service metrics, escalation paths, weekly business reviews, exception management workflows) to ensure consistent global execution
Lead continuous improvement initiatives to reduce cycle time, improve on-time delivery, and increase labor/process efficiency across pick/pack/ship, returns, and reverse logistics
Develop and maintain Key Performance Indicators and reporting (e.g., on-time shipment performance, cycle time, backlog health, exception rate, inventory accuracy), and present insights and recommendations to stakeholders and leadership
Enable systems and tooling enhancements (requirements definition, user testing, training, rollout/change management) to improve order intake, visibility, tracking, and operational controls
Manage shipment exceptions and high-severity escalations
coordinate rapid resolution with internal teams and external logistics providers
Influence roadmap planning by identifying operational risks, capacity constraints, and dependency gaps
propose mitigation plans and investments
Ensure prototype security, chain-of-custody expectations, and inventory tracking practices are embedded in operational processes and user guidance
Requirements:
8+ years of experience in logistics, fulfillment operations, supply chain operations, or operations program management (prototype, NPI, or high-variability environments)
Experience working in consumer electronics, AR/VR, hardware NPI, or other complex physical supply chain environments
Demonstrated experience leading cross-functional operational programs with measurable outcomes (service, cost, quality, cycle time, or compliance)
Hands-on experience with fulfillment processes (receiving, inventory management, pick/pack/ship, transportation coordination, returns/reverse logistics) and exception management
Experience building operational mechanisms and documentation (operating procedures, service metrics, escalation frameworks, metrics dashboards) and driving adoption across stakeholders
Analytical and problem-solving skills, including defining metrics, diagnosing drivers, and prioritizing improvements using data
Operates under your own initiative in ambiguous, time-sensitive environments and to manage multiple priorities and stakeholders simultaneously
Evidenced success in communication skills, including executive-ready status updates, risk articulation, and decision framing
Familiarity with global trade/ dangerous goods compliance considerations (e.g., customs documentation, restricted commodities, international shipping constraints) in a hardware environment
Experience managing third-party partners and warehouse operations remotely (metrics governance, performance management, and continuous improvement)
Experience with inventory and asset tracking systems and operational tooling, background driving system enhancements and change management
Background supporting secure handling of sensitive hardware, chain-of-custody processes, or regulated/confidential materials
Lean / Six Sigma or other continuous improvement training and demonstrated application in an operations setting
Demonstrated experience using AI to automate workflows or repetitive tasks