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About the Role

Own the operational execution of Meta Reality Labs products across our retail and distribution partner network. Manage the full order-to-cash cycle, drive CPFR with assigned accounts, and ensure channel inventory health meets targets using AI tooling. This role reports into the regional Channel Operations Manager and sits within the Global Channel Operations team, working with retail partners, distributors, and cross-functional teams. The team is building an AI-first operating model, requiring daily use of AI tools to solve operational problems.

Responsibilities

Own the bottom-up sell-in plan for assigned accounts and products
Provide weekly partner communication: supply allocations, order confirmation, order status, tracking
Lead CPFR analysis — align retailer demand with available supply and ensure data accuracy in tools
Manage and optimize channel inventory placement and instock levels against KPIs (WoS, In-Stock %, OTIF, OTD)
Serve as the operational escalation point for assigned accounts
Support onboarding of new partners and ensure all systems are updated for transacting business
Identify manual, repetitive processes in our workflows and build AI-assisted solutions to reduce time-to-output
Use AI tools to automate reporting, data extraction, partner updates, and analysis where it adds value
Translate operational requirements into structured prompts, automations, and workflows
Assess new AI features and tooling as they become available; recommend adoption where applicable
Share learnings with the wider team to drive collective capability
Deliver regular and ad hoc reporting as required
Participate in partner meetings with our Sales teams as needed
Lead designated operational projects and initiatives

Requirements

5+ years in supply chain operations — understanding inventory, allocation, orders, fulfilment, and how distributors and retail partners work
Proven AI proficiency — demonstrated use of AI tools for automations, streamlined reporting, process improvements, or workflow design with prompt engineering
Ability to translate business problems into AI solutions, assessing AI's value and executing accordingly
ERP experience — Oracle, SAP, or equivalent order management systems
Strong Excel and reporting skills — comfortable with data, analysis, and presenting findings
Experience communicating operational updates and recommendations in writing and verbally to cross-functional audiences
Adaptability in a fast-paced environment with changing priorities, new tools, and processes
Experience with CPFR, demand planning, or inventory management in consumer electronics or retail

Skills

AI tooling
Prompt engineering
AI solutions
ERP systems
Excel
Data analysis
Reporting
CPFR
Demand planning
Inventory management

Experience Level

5+ years

Education Level

Bachelor's degree in Business, Supply Chain, Engineering, or related field