Product Manager, Household

About the Role

At Stitch Fix, we are expanding our mission from styling an individual to helping clients shop confidently for themselves and everyone they love. The Household team owns one of our most important growth opportunities: transforming Stitch Fix into the easiest, most personalized way to shop across Women’s, Men’s, and Kids. We have proven demand through our Household MVP; now the opportunity is to scale it into a core shopping behavior and platform capability.

In this role, you will be the strategic owner of Household and cross-category shopping acceleration, leading the transition from a successful MVP to a scalable platform for richer browsing, multi-person shopping, personalized recommendations, and seamless discovery. This role requires equal parts consumer UX, personalization strategy, technical platform thinking, business acumen, and cross-functional leadership with Engineering, Data Science, Merchandising, Marketing, Operations, and Design. Success means doubling household adoption, increasing cross-category shopping frequency, and unlocking incremental LTV by making Stitch Fix the most personalized destination for buying for others.

Responsibilities:

• Drive Household Adoption, Engagement, and Scale: Lead the push to double Household adoption and deliver incremental LTV through increased shopping frequency, cross-category engagement, and expansion across Women’s, Men’s, and Kids. You will own the product strategy, roadmap, and success metrics for turning Household into a scalable growth engine.
• Build the Cross-Category Browse Platform: Own roadmap for a scalable browse and shopping platform across Women’s, Men’s, and Kids. You will define how taxonomy, category navigation, brand discovery, curated events, seasonal shopping moments, merchandising surfaces, and personalized recommendations come together into a cohesive discovery experience that helps clients move from inspiration to purchase.
• Make Multi-Person Shopping Effortless: Define the experience that allows clients to shop fluidly across people in one journey — just like they would at a favorite retailer, picking up something for themselves, their partner, and their kids. You will define how clients move between household members, capture preferences, and receive relevant recommendations across categories while preserving the personalized quality of each recommendation.
• Build the Foundations for Scalable Personalization: Partner with Engineering and Data Science to define the profile, preference, signal, and recommendation systems required to support shopping for multiple people within one account. You will make the right tradeoffs between client simplicity, data quality, technical scalability, recommendation performance, and long-term platform flexibility.
• Own Experimentation, Measurement, and Product Health: Use client insights, behavioral data, and experimentation to identify the highest-impact opportunities in household shopping. You will define success metrics, diagnose friction across the browse-to-purchase journey, and continuously optimize for household adoption, cross-category shopping frequency, conversion, recommendation quality.