About this role
The goal of this role is to own the operational execution of Meta Reality Labs products across our retail and distribution partner network. You'll manage the full order-to-cash cycle, drive CPFR with assigned accounts, and ensure channel inventory health meets our targets — all while actively using AI tooling to make the work faster, sharper, and more scalable.
This role reports into the regional Channel Operations Manager and sits within the Global Channel Operations team. You'll work directly with retail partners, distributors, and cross-functional teams spanning sales, logistics, planning, and finance.
Why AI matters here: Our team is building an AI-first operating model. This role requires hands-on, daily use of AI tools to solve real operational problems — not just familiarity with the concepts. You'll be expected to translate business needs into working AI solutions using the tools we have (enterprise AI assistants, Google Workspace AI, internal automation platforms).
Responsibilities
Own the bottom-up sell-in plan for assigned accounts and product
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 — you're the bridge between 'what we need' and 'what AI can do'
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
Qualifications
5+ years in supply chain operations — you understand inventory, allocation, orders, fulfilment, and how distributors and retail partners work
Proven AI proficiency — not theoretical. You already use AI tools to get work done. Show us: automations you've built, reporting you've streamlined, processes you've improved using AI, or workflows you've designed with prompt engineering
Ability to translate business problems into AI solutions — knowing when AI adds value, when it doesn't, 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 including sales, engineering, retail partners, and 3PL vendors
Adaptability — fast-paced environment, changing priorities, new tools and processes regularly
Experience with CPFR, demand planning, or inventory management in consumer electronics or retail 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
Experience building workflows or automations on AI platforms (enterprise AI tools, scripting with AI assistance, or similar)
Familiarity with KPIs: Weeks of Supply, OTIF, On-Time Delivery, forecast accuracy
Track record of improving operational efficiency through technology or process redesign
Bachelor's degree in Business, Supply Chain, Engineering, or related field