Senior Manager, Product Management – Discovery Experience (Hybrid - Seattle)

Nordstrom•Seattle, WA

5d•$191,000 - $297,000•Hybrid

About The Position

Nordstrom is hiring a Senior Manager of Product Management to own the discovery experience across Nordstrom and Nordstrom Rack. Discovery includes the customer experience before checkout, such as the homepage, search, browse, and product pages. The role leads product managers responsible for discovery experience, search and agentic shopping, search and browse foundations, digital optimization, and experimentation. The successful candidate will balance customer delight with technical depth, advancing an AI-native and increasingly agentic shopping experience in partnership with internal teams and third-party technology providers. The position defines a multi-year discovery strategy and roadmap, communicates the rationale to partners and senior leaders, and guides personalization, relevance, editorial storytelling, and end-to-end customer journeys. It also establishes ways to evaluate machine-learning and AI quality, including offline metrics, human review, and A/B tests, and determines when models and AI features are ready for customers. The Senior Manager partners across Engineering, Data Science, Design, Digital Merchandising, Marketing, and Stores; coaches and develops product managers; and defines KPIs such as conversion, engagement, and customer satisfaction. The role is hybrid in Seattle, Washington. Candidates must be available to work at Nordstrom’s corporate headquarters at least four days per week.

Requirements

At least 8 years of product management experience.
At least 3 years managing product managers.
Hands-on experience in search, recommendations, and/or conversational AI, such as query understanding, retrieval, ranking, personalization, or LLM-powered or agentic experiences.
Ability to assess ML/AI relevance and evaluate ranking, retrieval, and LLM output.
Experience working with third-party technology providers to ship AI-powered experiences.
Fluency in A/B testing and experimentation.
Sufficient technical grounding to partner effectively with Data Science and Engineering.
Strong UX instincts and a strong eye for taste.
Track record of translating customer insight into clear product requirements with Design and Research.
Customer-first mindset, with examples of customer-centered tradeoffs.
Active use of AI tools in product work, with examples of what changed.
Experience leading teams through changes to tools, processes, and ways of working.
Ability to inspire and develop strong teams.
Proven results in a fast-paced, innovative environment.
Strong written and verbal communication skills, including communication with senior leaders.
Bachelor’s degree in IT, Computer Science, Data Science, or related experience.
Availability to work at the Seattle corporate headquarters a minimum of four days per week.

Nice To Haves

Experience in technology or ecommerce.
Experience with LLM-powered or agentic shopping experiences.

Responsibilities

Define the multi-year discovery strategy and roadmap across homepage, product detail pages, search, and browse for Nordstrom and Nordstrom Rack.
Communicate the direction and rationale behind the roadmap to partners and senior leaders.
Develop AI-native shopping experiences that integrate intelligence throughout the customer journey.
Define personalization and relevance using customer and catalog understanding.
Partner with Creative, Design, and Research to create polished, brand-aligned end-to-end customer journeys.
Use editorial voice, content, and imagery to tell the brand story across browsing experiences.
Coach the team on evaluating ML and AI quality using offline metrics, human review, and A/B tests; determine when models and AI features are ready for customers.
Work with Engineering, Data Science, Design, Digital Merchandising, Marketing, Stores, and third-party technology providers.
Coach and develop product managers, set a high bar for product craft, and support adoption of new ways of working.
Define KPIs, including conversion, engagement, and customer satisfaction, and iterate based on results.