Wing
Regional Inventory Manager
Dallas, Texas; Palo Alto, California · Full-time
Sponsorship not specified$20k-$30kDetected 42 days ago
SQLSAPSupply ChainLogisticsProcurementERPInventory ManagementProblem SolvingMentoringWarehouse Management System
About the role
- Wing is looking for a Regional Inventory Manager, North America to join our Global Logistics Operations team.
- This role is primarily focused on leading and optimizing logistics and inventory operations within the North American region, ensuring that our drone delivery environments in the US and beyond are supported by a robust, interdependent supply chain.
- The ideal candidate thrives in balancing tactical day-to-day execution with forward-looking regional strategies, handling moderate to high complexity across several logistics sites.
Responsibilities
- Lead regional cycle counting programs, wall-to-wall physical inventories, and reconciliation processes to ensure high levels of inventory accuracy across all North American sites.
- Interdependent Execution: Manage work and decisions that impact the NA inventory management function and several other cross-functional partners, ensuring a unified work product.
- Operational Problem Solving: Use your specialized knowledge to identify large-scale problems within regional warehouses and optimize processes to accelerate solutions.
- Contingency Planning: Proactively develop alternative approaches and enact contingency plans to overcome uncertainty within the North American inventory network.
- Warehouse Optimization: Collaborate with site leads to optimize storage layouts, picking paths, and slotting strategies specifically for drone components and hardware.
Requirements
- 8+ years of experience in inventory and warehouse management, with a specific focus on North American operations and vendor management.
- Bachelor's degree in Logistics, Supply Chain Management, Business Administration, or equivalent practical experience.
- Demonstrated ability to ask the right questions and use data to inform project decisions and address regional challenges.
- Proven experience handling multiple regional priorities while balancing tactical needs with forward-looking work.
- Ability to effectively communicate regional goals and the concerns of stakeholders to reach mutual understanding across the North American organization.
- Ability to travel domestically (20-30%) and internationally as needed.
Nice to have
- Wing offers drone delivery as a safe, fast, and sustainable solution for last mile logistics.
- Consumer appetites for on-demand services are increasing, but current delivery methods are inefficient, costly, and contribute to road accidents and air pollution.
- Wing's fleet of highly automated delivery drones can transport small packages directly from businesses to homes on-demand, in minutes.
- If you're ready to do the greatest work of your life, come join us.
- Experience with Warehouse Management Systems (WMS), ERP systems (SAP preferred), and querying operational datasets (SQL).
Compensation
- $133,000 - $177,000 USD
Benefits
- Oversee SKU health, including managing aging, obsolete, and slow-moving inventory to optimize warehouse space and capital.
- The US base salary range for this full-time position is the salary range below + bonus + equity + benefits.
- Mentorship & Knowledge Sharing: Proactively share subject matter expertise with peers in North America to support the team's collective learning and development.
- Demand & Supply Sync: Work closely with procurement and planning teams to manage stock levels, prevent stock-outs, and handle overstock situations within the region.
Equal opportunity
- Wing is an equal opportunity employer and it is Wing's policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
- If you have a need that requires accommodation during the interview process due to a disability or special need, please let us know by completing our Candidate Accommodations Request Form.
This listing is sourced directly from Wing's careers page and normalized into a canonical job model.