✦ Luna Orbit — Product Management

Senior Manager, Product Management - Reverse Inventory Movement (Hybrid - Seattle)

at Nordstrom

📍 Seattle, WA Hybrid 💰 $191K – $297K USD / year Posted April 17, 2026
Salary $191K – $297K USD / year
Type Full-Time
Experience senior
Exp. Years 8+ years
Education Not specified
Category Product Management

Nordstrom is seeking a Senior Manager of Product Management to lead strategy, development, and execution for reverse inventory movement and returns processing capabilities. The role focuses on disposition decisioning, routing logic, recovery-based models, and measurable KPI outcomes, while leading a team of Product Managers.

  • Lead and develop a team of Product Managers for returns processing and reverse inventory movement
  • Own the returns product roadmap with milestones and measurable outcomes
  • Collaborate across Inventory and Supply Chain to align priorities and outcomes
  • Partner with Data Science and Engineering on intelligent systems and data models
  • Define and monitor KPIs for throughput, recovery rates, cost reduction, and processing speed

This role involves building enterprise-level returns processing and reverse inventory movement capabilities, including intelligent systems and data models. It requires partnering with Data Science and Engineering to enable dynamic disposition routing, exception handling, and data-driven decision-making throughout the returns lifecycle.

The ideal candidate is a senior product leader with 8+ years of product management experience, including 4+ years managing product teams in technology, retail, supply chain, or operations. They have delivered large-scale operational or data-driven systems and can own returns and reverse inventory movement roadmaps with measurable KPIs, partnering closely with Data Science and Engineering.

8+ years of product management experience4+ years leading and managing teams in technologyretailsupply chainor operations environmentsProven success delivering large-scale operational or data-driven systems that improve efficiencyreduce costor increase automationDeep understanding of returnsreverse inventory movementTranslate strategic direction into a well-sequencedexecutable plan with clear milestonesmeasurable outcomesand accountable ownersDefine and monitor key performance indicators for product performancePartner with Data Science and Engineering teams
KPIsdata modelsproduct roadmap
product managementreturns processingreverse inventory movementdisposition decisioningrouting logicrecovery-based modelsproduct roadmapKPIsdata-driven decision-makingdynamic disposition routingexception handlingdata modelsdata science collaborationengineering collaborationenterprise product standardsgovernance models
product managementproduct roadmap ownershipproduct strategyreturns processing capabilitiesreverse inventory movementdisposition decisioningrouting logicrecovery-based modelsreturns product management across channels and network nodeskpi definitionmeasurable outcomes trackingreturns throughputrecovery ratescost reductionprocessing speeddata modelsdynamic disposition routingexception handlingdata-driven decision-makingintelligent systemsdata science collaborationengineering collaborationhirecoachand supervise product managersenterprise product standardsgovernance modelsoperational data analysisscenario translation into actionable product frameworks
systems thinkingteam leadershipcoachingcross-functional collaborationstakeholder alignmentcommunicationtranslating ambiguous business challenges into actionable frameworksaccountabilityinnovation mindset
Industry Retail
Job Function Lead product strategy and execution for returns processing and reverse inventory movement.
Role Subtype Product Manager
Senior ManagerProduct ManagementSenior Manager of Product ManagementProduct Managerreverse inventory movementreturns product managementreturns processingreverse inventorydisposition decisioningrouting logicrecovery-based modelsreturns networkreturns throughputrecovery ratescost reductionprocessing speedproduct roadmapmilestonesmeasurable outcomeskey performance indicatorsKPIsdata-driven decision-makingdynamic disposition routingexception handlingData ScienceEngineeringenterprise product standardsgovernance modelshybridSeattledata science

Must have 8+ years of product management experience, Must have 4+ years leading and managing teams in technology, retail, supply chain, or operations environments, Must be able to work in hybrid Seattle (Seattle, WA implied by role title and location)

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