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The Senior Product Manager leads the OS&D exception management strategy, coordinating with teams to develop roadmaps, gather requirements, and measure product features for improved supply chain efficiency.

Design, build, and operate mission-critical microservices and internal React tools that deliver product data at scale. Implement validation, canonicalization, and entity resolution to ensure data quality. Integrate with Kafka, Temporal, and databases, drive observability and on-call operations, mentor teammates, influence architecture, and collaborate with cross-functional partners to support downstream consumers across the business.

Lead the design and execution of enterprise talent management practices to enhance performance, leadership readiness, and organizational depth. Manage a team, collaborate with HR and business leaders, and utilize talent data for strategic decisions.

Support and run on-set salesperson video shoots for Nordstrom.com: set up production, prep and wrap product, coach talent, track data and communicate with store and program teams to meet throughput and content quality goals.

Lead design and delivery of scalable, reliable supply-chain services and APIs. Improve performance, reliability, observability, CI/CD and testing. Mentor engineers, participate in on-call incident response, and drive cross-service solutions for order flow and inventory systems.

As a Senior Engineer 2, you'll lead complex AI system designs, oversee team quality, integrate LLM APIs, mentor junior engineers, and collaborate across teams to enhance the AI Agentic Platform.

As a Senior Full Stack Software Engineer, you will design, build, and operate services and user interfaces for Nordstrom's product data ecosystem, focusing on microservices and React applications to manage catalogs and data integrity.

Lead a small team of senior data engineers and analysts to build and operate high-scale pipelines and data models that transform web and app behavior into trusted digital KPIs. Set technical strategy for behavioral analytics, ensure data quality and delivery discipline, manage stakeholder relationships across product and marketing, and develop team members into technical leaders.

Lead enterprise data governance and AI-first metric standardization programs. Own roadmaps, align cross-functional teams, embed governance into data lifecycles, enable executive reporting, and drive adoption, quality, and accountability across platform, analytics, and business stakeholders.

Manage distribution center production and shipment workflows, create and adjust staffing and shift plans, drive risk management and SLA adherence, liaise with planning teams, analyze KPIs, coach operations leaders, and lead pre-planning and postmortem performance reporting.