Product Manager, Household

Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. The Product Manager for Household will lead the strategy and execution of a new platform aimed at enhancing personalized shopping experiences across various categories, focusing on increasing engagement and adoption among clients.

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, retention, and incremental LTV
• Lead Cross-Functional Strategy, Launch, and Adoption: Act as the connective tissue between Marketing, Merchandising, Design, Data Science, Engineering, and Operations. You will align teams around a cohesive cross-category shopping strategy, balance client needs with business outcomes and technical feasibility, and partner on launch, merchandising, and lifecycle strategies that drive awareness, adoption, and repeat household shopping behavior

Requirements:

• 8+ years of product experience and a track record of leading complex, foundational product initiatives
• Comfortable navigating legacy architecture, making smart sequencing tradeoffs, and articulating the business value of platform investments to executive leadership
• Understanding how to build engaging shopping experiences that help clients move from browsing to confidence to purchase
• Strong product intuition across discovery, personalization, merchandising, browse, and the emotional dynamics of shopping for oneself and others
• Use client insights, behavioral data, and rapid experimentation to understand how people actually shop across categories, household members, and occasions
• Translate insights into experiences that feel personal, useful, and delightful
• Reason through how data should flow between a primary account, household profiles, style preferences, browsing behavior, purchase intent, and recommendation systems
• Connect metrics such as adoption, engagement, conversion, cross-category attach rate, Fix success, retention, and LTV to product strategy and roadmap decisions
• Understand how AI, LLMs, and recommendation systems can improve discovery, curation, decision quality, client understanding, and time to learning
• Excited to explore new ways AI can make shopping for multiple people feel easier, smarter, and more relevant
• Harmonize competing priorities across executive stakeholders, Marketing, Merchandising, Design, Engineering, Data Science, and Operations
• Set a compelling 6–12 month roadmap, sequence foundational platform work with client-facing value, and keep teams oriented around measurable outcomes
• Lead with humility, curiosity, and accountability
• Motivated by solving ambiguous problems in fashion-tech and building experiences that make clients feel understood across the full range of people they shop for
• Experience with subscription or repeat-purchase consumer models
• Personalized ecommerce or marketplace discovery
• Recommendation systems
• Multi-profile/family account experiences