Senior Product Manager

Nuuly is hiring a Senior Product Manager in Philadelphia, PA (onsite) to help shape product discovery experiences that connect product discovery, merchandising, and AI. In this role, you will lead end-to-end discovery capabilities, own the product data that powers them, and partner across teams to turn customer and business needs into requirements engineering can build, tune, and validate.

What you’ll do

• Own discovery features end-to-end, from problem definition and scope through launch, measurement, and iteration, balancing customer experience, effort, scalability, and performance
• Collaborate with Merchandising, Inventory Science, UX, Marketing, and Data Science to gather and prioritize business needs, then translate them into technical requirements
• Define requirements for product data and attribution to power search, filtering, recommendations, and personalization, including identifying data gaps and driving their resolution
• Set search relevance requirements, covering query intent, synonyms, ranking rules, and merchandising boosts; establish acceptance criteria and evaluate query tuning results with Engineering
• Define requirements for recommendation and personalization experiences, including inputs, business rules, placements, and success metrics
• Write and test LLM prompts for automated workflows such as attribute enrichment, product descriptions, and query understanding, including evaluation criteria and acceptance thresholds
• Run refinement sessions, work with the delivery team to prioritize sprint work, and participate in release cycles with DevOps, QA, and Engineering to validate new services, data, and configuration
• Define success metrics for discovery features and use performance data to guide prioritization
• Meet with stakeholders regularly to report status and gather new requests, and mentor other members of the Product team

What you bring

• 5-8 years of experience product managing in an SDLC environment, including writing requirements, planning, and testing; ecommerce or subscription-based platform experience preferred
• Knowledge of retail product data and attribution, especially apparel
• Experience defining requirements for onsite search (relevance and query tuning) and for recommendation engines or personalization
• Understanding of how search and recommendation performance is measured (for example: click-through, conversion, zero-result rate)
• Experience writing and testing LLM prompts used in automated workflows, plus familiarity with AI tool integration concepts (MCP, connectors, agentic workflows)
• Ability to identify where AI can improve efficiency
• Experience writing requirements for REST services and working in a microservices environment
• Strong documentation and technical writing skills
• Working knowledge of SQL; experience with JIRA and Confluence
• Effective communication across technical and non-technical audiences; comfortable working in Agile Scrum with cross-functional teams
• Plus: experience with BigQuery, automated API testing (Karate, Postman, etc.), or Kafka and event-driven architecture

Technologies you’ll work with

SQL, JIRA, Confluence, BigQuery, Karate, Postman, Kafka, REST, MCP

Benefits

• Medical
• Dental
• Vision
• PTO
• Generous employee discounts
• Retirement savings

URBN provides comprehensive Perks & Benefits to employees. Availability and eligibility to specific benefits may vary by location and employment status. Additional information: www.urbn.com/work-with-us/benefits.