Build capabilities that support engineered labor standards, gamification, incentive and AI enabled Labor Management tools.
Champion the Operator and Drive Operational Excellence: Spend time on warehouse floors understanding associate workflows, pain points, and efficiency opportunities
Translate operational insights into detailed product tracking requirements that engineering teams can rally behind
Partner with operations, industrial engineering, and continuous improvement teams to identify high-impact features and LMS enhancements
Build empathy across the product organization for associates picking in busy warehouses or processing holiday peak volumes
Ship Features and Measure Impact: Ship features quickly and measure their impact on real operations immediately
Iterate based on operational feedback, performance metrics, and warehouse testing
Balance operational needs with technical complexity
deliver value quickly while building scalable foundations
Use data to validate product decisions and prove operational impact
Define success metrics tied to throughput, accuracy, productivity, and operational efficiency within your domain
Collaborate Across the Logistics Product Group: Work alongside other PMs managing OMS, TMS, WMS & billing, and other products within the logistics group
Partner with designers and analysts to create cohesive fulfillment experiences across products
Coordinate with engineering teams to ensure LMS integrates seamlessly with the broader platform
Contribute to shared product practices and standards across the logistics product group
Support Strategic Planning: Provide operational insights and data to inform the broader LMS strategy and vision
Collaborate with Senior PM and Head of Product Logistics on roadmap prioritization
Track KPIs like units per hour, pick accuracy, putaway velocity, and cycle time
Conduct warehouse testing to validate features before full rollout
Continuously refine workflows based on operational data and associate feedback
Requirements
3-5+ years of product management experience with at least 3 year in supply chain, logistics, or operations-heavy products
3+ years working with Labor Management Solutions (LMS)
Manhattan, Blue Yonder, Kronos, etc…
Operations fluency
Deep understanding of warehouse workflows, constraints, and what makes operators successful
Technical collaboration
Ability to work effectively with engineering teams on complex, data-intensive systems
User research skills
Comfortable conducting operator interviews, shadowing warehouse shifts, and translating observations into requirements
Data-driven mindset
Experience using operational metrics to inform product decisions and measure success.