Senior Manager, Product Management – Discovery Experience (AI/Ecommerce)

Location: Hybrid in Seattle, Washington; must work from the hirify.global corporate headquarters at least 4 days per week.

Salary: $191,000–$297,000 annual.

Company

hirify.global operates the hirify.global and hirify.global Rack fashion retail experiences, including digital discovery across shopping journeys.

What you will do

• Set the multi-year product vision and roadmap for homepage, search, browse, and product pages across hirify.global and hirify.global Rack.
• Lead product managers responsible for discovery experience, search, agentic shopping, digital optimization, and experimentation.
• Build AI-native shopping experiences, including search summaries, product-page prompts, virtual try-on, and other intelligent customer experiences.
• Own personalization, relevance, catalog understanding, customer understanding, and discovery quality.
• Partner with Creative, Design, Research, Engineering, Data Science, Digital Merchandising, Marketing, Stores, and third-party technology providers.
• Define KPIs such as conversion, engagement, and customer satisfaction while coaching and developing the product management team.

Requirements

• 8+ years of product management experience and 3+ years managing product managers, ideally in technology or ecommerce.
• Hands-on experience with search, recommendations, conversational AI, query understanding, retrieval, ranking, personalization, LLM-powered, or agentic experiences.
• Ability to evaluate ML/AI relevance, including ranking, retrieval, LLM output, offline metrics, human review, and A/B testing.
• Experience working with third-party technology providers and partnering effectively with Data Science and Engineering.
• Strong UX judgment, customer insight, written and verbal communication, and experience leading teams through organizational or tooling changes.
• Bachelor's degree in IT, Computer Science, Data Science, or related experience.

Culture & Benefits

• Customer-first product development guided by research and real customer behavior.
• Emphasis on taste, polish, brand storytelling, experimentation, and continuous learning.
• Medical, vision, dental, retirement, paid time away, life insurance, and disability benefits.
• Merchandise discount, employee assistance resources, holidays, and potential performance-based incentives.