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

Nordstrom•Seattle, WA

1d•$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 everything customers experience before checkout, including the homepage, search, browse, and product pages. The role leads product managers across discovery experience, search and agentic shopping, search and browse foundations, digital optimization, and experimentation. It balances customer delight with the technical work needed to advance agentic shopping, in partnership with internal teams and third-party technology providers. The position sets the multi-year discovery strategy and roadmap, builds AI-native experiences throughout the shopping journey, and defines personalization and relevance using customer and catalog understanding. It partners with Creative, Design, and Research to create brand-led end-to-end experiences and storytelling through editorial voice, content, and imagery. The Senior Manager also guides evaluation of ML and AI quality, establishes meaningful KPIs, and coaches and develops the product management team. The role is hybrid in Seattle, Washington, and requires availability to work at Nordstrom’s corporate headquarters at least four days per week. The stated annual pay range is $191,000–$297,000. The position may be eligible for performance-based incentives or bonuses.

Requirements

At least 8 years of product management experience.
At least 3 years of experience managing product managers.
Hands-on experience in search, recommendations, and/or conversational AI, including areas such as query understanding, retrieval, ranking, or personalization, and LLM-powered or agentic experiences.
Ability to assess ML and AI relevance, including evaluating ranking, retrieval, and LLM outputs.
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 turning customer insight into clear product requirements with Design and Research.
Customer-first mindset, with examples of customer-focused tradeoffs.
Active use of AI tools in product work, with examples of how their use changed the work.
Experience leading teams through change, including new 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, including communication with senior leaders.
Bachelor’s degree in IT, Computer Science, Data Science, or related experience.
Must be available to work at the Nordstrom corporate headquarters in Seattle at least four days per week.

Nice To Haves

Product management experience in technology or ecommerce.

Responsibilities

Define the multi-year discovery strategy and roadmap for homepage, product detail pages, search, and browse across Nordstrom and Nordstrom Rack.
Communicate the rationale and direction of the roadmap to partners and senior leaders.
Build AI-native experiences throughout the shopping journey, including capabilities such as search summaries, product-page prompts, and virtual try-on.
Define personalization and relevance using customer and catalog understanding.
Partner with Creative, Design, and Research on end-to-end journeys that express the brand.
Use editorial voice, content, and imagery to tell the brand story from homepage to product page.
Coach the team on evaluating ML and AI quality using offline metrics, human review, and A/B tests, and 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.
Lead, coach, and develop product managers; set a high bar for product craft and help the team adopt new ways of working.
Define KPIs such as conversion, engagement, and customer satisfaction, and iterate based on results.
Help the team adapt deliberately as tools and workflows evolve.