Sr Staff Inbound Product Manager — Supply Chain Operations
RemoteUnited States
Job Summary
Partner with engineering and data science teams to design, build, and ship supply chain exception management capabilities, diving deep into architecture decisions and system design. Design and deliver product features for the supply chain operations business unit, focusing on exception management workflows, alert prioritization, and automated remediation. Build the partner ecosystem by collaborating with third-party logistics providers, transportation management systems, and ERP vendors to co-develop integrated solutions and ensure seamless API integrations. Collaborate with customers through design programs and advisory councils to demo capabilities and champion product strategy across procurement, logistics, and operations teams. Drive cross-company outcomes by enabling integration between supply chain operations and broader enterprise functions like finance and manufacturing.
Required Qualifications
- 12+ years of product management experience in supply chain, procurement, logistics, demand planning, or inventory optimization
- Ideally at enterprise software companies or managing complex, multi-stakeholder operations products
- Demonstrated understanding of exception management workflows, alert prioritization, root cause analysis, and remediation processes in supply chain operations
- Experience building products or features that help teams identify, triage, and resolve supply chain disruptions (demand-supply mismatches, supplier delays, inventory exceptions, logistics exceptions)
- Previous experience as a software engineer or deep familiarity with software architecture, APIs, databases, and system design
- Comfortable diving into technical discussions with engineering about scalability, performance, data modeling, and infrastructure tradeoffs specific to supply chain exception management systems
- Proven success building products in partner-centric ecosystems or platforms
- Experience collaborating with technology partners, system integrators, or ISVs to co-develop solutions
- Understanding of how to design APIs and integrations that enable partners to extend platform capabilities
- Experience in leveraging or critically thinking about how to integrate AI into supply chain processes, decision-making, or problem-solving
- Demonstrated leadership experience and strategic thinking operating at the scale of large enterprise supply chain software products
- Proven ability to manage complex product portfolios serving procurement, logistics, operations, and exception management teams
- Understanding of end-to-end supply chain functions including demand planning, procurement workflows, inventory management, supplier relationship management, logistics optimization, exception management, and supply chain risk management
- Strong ability to translate between technical capabilities and business outcomes (OTIF, forecast accuracy, inventory turns, exception resolution time, cost reduction)
- Strong prioritization skills and the discipline to focus on high-impact activities that drive measurable supply chain outcomes and business value
- Experience gathering and capturing product requirements from supply chain stakeholders and partners
- Working with engineering to translate them into technical specifications and architecture decisions that inform a product roadmap balancing operational needs, partner capabilities, and strategic transformation goals
- Deep curiosity about supply chain customer needs and a track record in building customer relationships, partner relationships, and delivering customer-centric and partner-friendly solutions that solve real supply chain challenges
Desired Qualifications
- Ideally at enterprise software companies or managing complex, multi-stakeholder operations products
- Experience in leveraging or critically thinking about how to integrate AI into supply chain processes, decision-making, or problem-solving. This may include AI-powered exception detection, intelligent alert prioritization, predictive exception prevention, automated remediation workflows, or AI-driven supply chain visibility
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