Engineer

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

As a Lead Engineer on the Product Catalog Manager Team, you will help set the technical direction for the systems that power Stitch Fix’s product data ecosystem. You will work on the tools, workflows, and data models that support the full product lifecycle, from new style creation and catalog enrichment to product readiness, validation, and downstream product experiences.

You will own complex problem spaces from discovery through delivery, translate business and merchandising needs into scalable technical solutions, and lead execution across ambiguous, cross-functional initiatives.

This role requires strong technical judgment, deep ownership, clear communication, and the ability to influence partners across Engineering, Product, Merchandising, Data Science, and Operations.

Your work will directly impact product data quality, catalog accuracy, merchandising efficiency, product readiness, and the client experience.

Responsibilities:

• Own and evolve critical catalog systems, including product onboarding, attribute management, data enrichment, validation workflows, and product readiness tooling.
• Design and operate scalable services and data models that ensure product information is accurate, complete, consistent, and available to downstream systems.
• Drive discovery with Product, Merchandising, Data Science, and Operations partners to identify high-impact problems, evaluate tradeoffs, and define clear technical roadmaps.
• Independently lead initiatives from concept through production rollout, including technical design, implementation, launch, and measurement of outcomes.
• Improve catalog data quality by building systems that detect, prevent, and resolve incomplete, inaccurate, or inconsistent product information.
• Ensure catalog workflows support efficient merchandising operations and help teams prepare products for sale at scale.
• Mentor engineers through code reviews, architecture discussions, technical feedback, and shared ownership of engineering standards.
• Instrument, monitor, and tune systems for reliability, performance, scalability, and cost efficiency.
• Work collaboratively with cross-functional partners to align technical solutions with business needs and operational workflows.