About Stitch Fix, Inc. Stitch Fix (NASDAQ: SFIX) Stitch Fix is redefining retail by combining human creativity with advanced data science and Generative AI. As we build the future of personalized shopping, we’re equally committed to building yours.

We believe in investing in our team as much as our technology. Join us to be a trendsetter in the industry and help us redefine what’s possible for our clients, while we help you reach your full potential.

About The Role

Stitch Fix is looking for a Director, Product Algorithms to lead the product-facing Algorithms portfolio across Client Experience. This leader will oversee Growth Algorithms, Styling Algorithms, and Fix & Freestyle Algorithms, partnering closely with Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN. This role sits at the intersection of product strategy, data science, machine learning, AI, experimentation, innovation, and product analytics capability.

The leader will help Client Experience Product use data and algorithms to create more personalized, effective, and inspiring client and stylist experiences, while improving the operating discipline needed to deliver measurable business impact with limited people, expertise, and execution capacity. This leader will also help raise the innovation bar for CX Algorithms: improving and scaling our use of state-of-the-art data science, machine learning, AI, and experimentation techniques, while helping Stitch Fix reestablish itself as a data science leader in personalized client and stylist experiences.

What You'Ll Do

Lead the Product Algorithms portfolio across Growth Algorithms, Styling Algorithms, and Fix & Freestyle Algorithms, driving measurable outcomes across acquisition, onboarding, lifecycle engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences. Set the vision for how Client Experience Product uses data science, machine learning, AI, experimentation, and product analytics capability to create more personalized and effective client and stylist experiences. Translate company and CX priorities into high-impact algorithmic, analytical, and AI-enabled roadmaps that balance client outcomes, stylist effectiveness, revenue, inventory, technical feasibility, and execution capacity.

Raise the innovation bar across Product Algorithms by identifying, adapting, and scaling state-of-the-art techniques in data science, machine learning, AI, experimentation, and personalization that can create meaningful client, stylist, and business impact. Shape product analytics capability and standards in partnership with Enterprise Analytics, Data Platform, Product, and Engineering, improving opportunity sizing, product diagnosis, prioritization, launch readiness, and post-launch learning. Improve and optimize CX experimentation strategy, including test design, launch decisioning, measurement quality, interpretation standards, guardrails, learning velocity, and more efficient use of limited people, expertise, and execution capacity.

Improve work planning and execution discipline across the portfolio, including clearer priorities, stronger sequencing, better dependency management, and more predictable delivery. Strengthen incident management and operational readiness for product-facing algorithmic systems, including clearer ownership, faster diagnosis, stronger cross-functional response, and better learning loops after incidents. Lead, coach, and develop managers and senior ICs, creating clear expectations, strong feedback loops, healthy team rhythms, and a high bar for technical and product leadership.

Represent product-facing Algorithms in cross-functional and executive forums, translating technical work into clear business impact, risks, tradeoffs, and decisions. Drive a culture of ownership for holistic outcomes, with teams proactively engaging partners and connecting algorithmic work to client, stylist, and business results.