Product Manager, Data Science

Summary

Join Stitch Fix's Learning & Playback team as a Data Science Product Manager to lead the product strategy and vision, bridging data science, client needs, and business objectives. You will partner with various teams to enhance client preference understanding and personalize recommendations. This highly strategic role involves developing and executing product strategies leveraging cutting-edge Gen AI, owning the roadmap, identifying problem statements, and collaborating with cross-functional teams. You will lead with influence, fostering a collaborative environment and shaping the future of AI-driven personalization. The role includes driving key initiatives and continuously learning from client feedback to improve the overall client experience.

Requirements

• Have 5-8 years of product management experience, with a strong focus on data science, machine learning, and recommendation systems
• Be a strategic thinker who can synthesize customer needs, industry trends, and company objectives to create a compelling vision and a long-term strategy for Learning & Playback
• Champion client empathy and build robust feedback loops, integrating client insights into every stage of product development to ensure our AI-driven experiences feel personal, relevant, and delightful
• Embody our Stitch Fix values—bright, kind, and motivated by challenge—and who approaches every problem with curiosity, accountability, and a desire to learn
• Have repeated success in driving conversion, engagement, or retention by leading major product initiatives, driving cross-functional teams, and delivering meaningful customer value
• Possess a deep understanding of data analytics and the ability to collaborate effectively with Data Science and Engineering teams, translating business goals into actionable ML projects
• Be skilled in prioritization and stakeholder management, comfortable navigating differing opinions, setting expectations, and ensuring alignment across teams

Responsibilities

• Develop and execute a product strategy that enhances our best-in-class understanding of client fashion taste and styling preferences, personalization, and the ability to deliver exceptional styling experiences. This includes leveraging cutting-edge Gen AI capabilities to drive improvements in our recommendation systems
• Own the roadmap, informed by data-driven insights and advanced analytics, to prioritize investments in machine learning capabilities and product features that serve our clients' needs and drive business value
• Identify and articulate clear, strategic problem statements, translating complex business challenges into focused opportunities that push the boundaries of personalization and client satisfaction
• Collaborate with Data Scientists, Engineering, and Design to leverage cutting-edge AI capabilities, driving enhancements in our recommendation systems to create experiences where clients discover styles they love, fit perfectly, and help them always look—and feel—their best
• Lead with influence, not just authority, fostering a collaborative environment where diverse perspectives from Data Science, Engineering, and Design come together to solve complex challenges and build exceptional products
• Shape the future of AI-driven personalization at Stitch Fix, with the opportunity to take on high-visibility projects and grow into a key leadership role within the product organization
• Drive key initiatives and projects, such as StyleFile Expansion, Conversational Onboarding, Style Shuffle V2, and improvements in core recommendation models
• Continuously learn and gather feedback from clients, iterating on our style quiz, profile updates, and integrating these learnings into both the Fix and Freestyle experiences
• Improve item recommendations and surfacing, ensuring clients receive personalized, high-quality recommendations that align with their preferences and style needs

Preferred Qualifications

Have experience in eCommerce recommendation systems, early-stage product development and obsessing over the cutting edge of Generative AI

Benefits

• Competitive salary
• Benefits
• Equity
• Grants of restricted stock units
• Medical, dental, vision, and other benefits