Nordstrom

Manager

• Recruit, hire, train, develop and motivate the team
• Assist the department manager in achieving department volume and productivity goals by developing and executing a business plan
• Teach, coach and lead salespeople by example to ensure outstanding customer service
• Work with the department manager to ensure merchandising and presentation standards are met
• Build long lasting relationships and create a loyal customer following by actively selling on the floor
• Assist the department manager in ensuring accurate inventory management and achieving shrinkage goals

Assistant Manager – Apparel

General

• Obtain and manage image assets and product attributes for items on Nordstrom.com and NordstromRack.com
• Partner with internal and external vendors to acquire assets and product attributes
• Ensure imagery and product attributes meet Nordstrom standards
• Upload imagery and product attributes into Nordstrom systems for downstream teams
• Rebalance and shift priorities to meet production deadlines
• Build business partnerships and provide status updates to Buying Office, Site Merchandising, Photo Studio, and Marketing
• Test new solutions to increase efficiency while maintaining quality
• Maintain consistent data management through the production pipeline

Flex Vendor Asset Acquisition Specialist

Operations

• Prepare and serve beverages and food items consistently by adhering to all recipe standards
• Deliver exceptional customer service
• Maintain knowledge of coffee, tea, drink preparation, and products
• Assist with setup, cleanup, stock work, and handling of food items

Barista – Specialty Coffee

Director

• Build and lead Nordstrom Beauty’s education function from the ground up
• Define the education vision and curriculum architecture across onboarding, ongoing education, and certification
• Hire and lead an initial team of 2 FTE, establishing roles, priorities, and operating rhythms
• Build reinforcement mechanisms including certification, coaching loops, and field feedback systems
• Establish service and selling standards and integrate them into education programs
• Spend meaningful time in-store to pressure-test curriculum and partner with field leadership to close execution gaps
• Lead the transition from vendor-led to Nordstrom-owned education
• Ensure consistent, brand-agnostic education capability across locations

Director – Beauty Education & Service

Designer

• Responsible for delivering brand-informed seasonal concepts with leadership oversight.
• Understands how product design, market analysis and data analytics influence + evolve retail strategies at a brand level.
• Identifies and curates color pallets, trends, print/pattern, fabric and silhouette information for specific brands.
• Works with Sr. Manager of Concept and Concept Director to produce and communicate conceptual stories on a seasonal basis.
• Collaborates with Design Director and partners on the implementation and execution of conceptual ideas.
• Conducts color and trend research to support seasonal product priorities and merchant strategies.
• Reinforces conceptual/trend information as new intel becomes available, always keeping a pulse on fashion publications, social media and the runways.
• Competitively shops the market to understand the landscape, reporting back key findings to CFTs.
• Influences product decisions during the development and assortment phases to ensure relevant, engaging offerings for our customer.
• Has confidence to identify where assortments have strayed away from the original concept and can provide recommendations to course-correct.
• Supports Sr. Manager in fostering partnerships with CFT's and oversees catering content to meet their needs.
• Seasonal travel for research and/or product development.

Concept Designer – Women’s Accessories, Footwear & Sleepwear

Solutions Engineer

• Implement individual components of agentic solutions — tool integrations, prompt templates, retrieval steps — under the direction of senior engineers, writing clean, well-tested code and documenting your work clearly.
• Learn how the team applies context engineering — what an agent sees, when, and why — and actively seek out knowledge of LLMs, agentic frameworks, and prompt engineering to apply to your work.
• Help build and run evaluation scripts and offline benchmarks to check that agent behavior is safe, accurate, and reliable.
• Participate in on-call rotations and design reviews, learning to debug issues and surface trade-offs on the specific functions or components you own.
• Add basic instrumentation — logging, metrics, alerts — to the systems you build, and follow Nordstrom's engineering and security standards, including secure handling of sensitive data.
• Collaborate with teammates across engineering, product, and business stakeholders to understand how your work fits into the larger solution.

Engineer 1 – AI Agentic Solutions

• Design and build agentic components with minimal supervision.
• Contribute to context engineering work.
• Apply AI fluency to integrate LLM APIs and agentic frameworks into production services.
• Participate in on-call rotations.
• Learn to lead work processes and design reviews.
• Understand business metrics for the team and how your work connects to the team’s roadmap.

Engineer 2 – AI Agentic Solutions

Full-stack Engineer

• Design, build, and maintain backend systems and APIs that ingest, enrich, and distribute product data
• Partner with product, platform, and engineering teams to understand how product data flows and how to improve it
• Own features end-to-end—architecture, development, testing, deployment, monitoring, and iteration
• Contribute to system design and code reviews, helping to uphold high engineering standards
• Investigate and resolve production issues quickly and thoroughly
• Drive continuous improvement across system performance, reliability, and developer experience

Software Engineer 2

• Build and evolve core platform services.
• Own microservices that power product information management.
• Design delightful internal tools for merchants and buyers using React-based applications.
• Drive data quality at scale with validation, canonicalization, and entity resolution capabilities.
• Participate in on-call rotations and build observability into every service.
• Contribute to architecture decisions and mentor engineers on the team.

Senior Full Stack Software Engineer

Program Manager

• Consult internal partners on effective utilization of technology to support their processes
• Support Workforce Management teams by enabling and optimizing Workday Scheduling and Labor Optimization tools
• Partner with non-technical and technical stakeholders to support initiatives connected to artificial intelligence, including evaluating AI-driven tools and enabling responsible adoption across HR functions
• Hold HR and Technology stakeholders accountable to design principles
• Collaborate with technology teams and business leaders to enable core capabilities and deliver business value
• Present demos, status updates and risk/mitigation strategies and communicate down the pyramid through VP level
• Support key stakeholders through combined status updates of cross-organization programs/projects to drive process improvements and decision making
• Manage stakeholder expectations while supporting governance and service delivery model
• Define and evaluate tool needs with HR and non-HR groups to ensure efficiency in processes and data integrity across all systems
• Own project intake & prioritization and roadmap execution for HR technology and analytics related initiatives
• Own process design for system-related processes and ensure actionable & clear system requirements are gathered, user acceptance testing plans are developed, and successful roll outs of initiatives occur
• Prioritize feature opportunities and develop backlog, supporting the roadmap
• Deliver high-impact and complex programs by driving the intake of requests, defining, and analyzing requirements, and executing integrated plans across multiple teams
• Engage with vendors to influence SaaS product roadmap
• Benchmark with industry peers
• Utilize research and usability sessions to validate feature design
• Drive technical and non-technical root cause analysis for underperforming business KPIs
• Manage special projects and perform other related duties as assigned

Senior Program Manager, Tech – Workday Workforce Management

Data Analyst

• Develop, test, and improve methods for classifying customer comments, measuring sentiment, and identifying emerging issues and root causes, using LLMs and other text analytics tools where appropriate
• Establish validation standards through peer review, human-reviewed samples, and benchmarks
• Own and evolve current models, workflows, and data sources; challenge assumptions, evaluate new methods and tools, and independently design the next iteration
• Use SQL, Python/R, and BigQuery to build repeatable datasets and tools that support scalable analysis and self-service exploration
• Own the customer-feedback taxonomy and Medallia survey text analytics, including topic definitions, classification rules, sentiment, releases, and documentation
• Deliver end-to-end analysis, from defining the business question through recommendations and storytelling, connecting customer feedback with behavioral and operational measures such as engagement, trips, spend, and future behavior
• Produce recurring, seasonal, event-based, and rapid-turn customer analysis, including emerging trends
• Partner with stakeholders to uncover needs, define success, scope data access and effort, and align on measurement approaches and priorities
• Build clear business cases and gain leadership support for analytical priorities, investments, and roadmap recommendations
• Collaborate with business, Technology, Product, and Analytics teams to deliver solutions that increase the value and use of customer feedback
• Collaborate with other analysts through code review and shared standards; mentor junior analysts on analytics, storytelling, and responsible use of LLM and AI tools

Data Analyst 3, Customer Feedback Analytics

DevOps Engineer

• Collaborate with cross-functional teams to ensure their systems meet Nordstrom’s standards for operational excellence.
• Mentor team members and other engineers on best practices in SRE.
• Lead the design and implementation of projects aimed at improving operational excellence across the Technology Team.
• Monitor system performance and troubleshoot issues to ensure reliability and scalability.
• Develop and refine tools and automation to enhance system performance and operational efficiency.
• Participate in on-call rotations to provide support for critical issues and incidents.
• Continuously seek opportunities to improve processes and reduce manual efforts through automation.
• Contribute to the development and maintenance of documentation for systems and procedures.

Senior Engineer 2 – Site Reliability Engineering

• Lead the integration of the Inventory Operations Data Analytics teams into one organization with a shared roadmap, shared prioritization process, and clear ownership and expectations.
• Build and defend a unified data strategy for Inventory Operations: the pipelines and architecture that make data trustworthy, and the reporting and visualization layer that makes it usable by decision-makers who are not analysts.
• Lead a combined organization of 10-15 team members, including a Manager of Data Analytics and individual contributors.
• Balance team leadership with execution to deliver high-quality results while hiring, developing, and retaining a high-performing team.
• Manage the weekly and monthly business review process for inventory data, including the metrics, the follow-up mechanism, and the discipline to keep it decision-focused rather than a status readout.
• Identify root causes through analytics and either drive the fix directly or work through the accountable partner to make the improvement repeatable and scalable, rather than a one-time solve.
• Reduce manual reporting load across the combined team by pushing toward automated, self-serve data products, and be explicit with your team and stakeholders about where AI and automation change how work gets done.
• Represent Inventory Operations data capability in cross-functional forums with Merchandising and Technology partners and escalate risks and tradeoffs to leadership before they become surprises.
• Establish a positive work environment conducive to collaboration and teamwork.
• Ensure team has the tools, resources, and information they need to be successful.
• Strategize with leadership to overcome potential stumbling blocks and resistance.

Director, Data Analytics – Inventory Operations

• Own end-to-end Service & Support operations
• Define and drive SLA accountability across all support channels
• Gather customer and business partner insights and analyze the existing support landscape
• Develop and maintain a detailed strategic roadmap for Service & Support operations
• Partner closely with the Engineering & Technology Solutions, HAM & Depot, and Program & Portfolio Management leaders
• Define and track key performance indicators (KPIs) and Service Level Agreements (SLAs)
• Foster strong relationships with application development and engineering teams
• Lead and develop the Service Desk and Field Support leaders on the team.

Director, Service & Support – Technology Operations

• Reconcile merchandise financial, supplier and assortment plans ensuring it captures key product and customer strategies and are achievable.
• Direct the analysis and use of information to improve the depth and precision of the buy
• Manage and direct inventory management in season; ensuring effective decision making around analysis, markdowns, claims, re-orders, etc.
• Partner with the buyer and other cross functional partners on business reviews, open-to-buy management and plan revisions to achieve financial goals and strategic objectives.
• Teach, coach and motivate direct reports to drive in season performance management and become superior partners in planning assortments and quantifying the buy.