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Stitch Fix

Personalized styling via data-driven subscriptions

Lead Engineer - Product Catalog Team

Backend EngineeringConfirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Have 3+ years of software engineering experience with demonstrated impact in complex domains.
  • Have a Bachelor's degree in an Engineering or Computer Science field.
  • Have experience building and operating large-scale production systems, data platforms, workflow tools, or product information systems.
  • Bring strong domain interest or experience in catalog management, product data, merchandising systems, e-commerce, supply chain, or similarly operationally intensive environments.
  • Be fluent in at least one modern programming language, such as Go, Java, Ruby, Python, or similar, and be willing to work across languages.
  • Have a proven track record of independently driving initiatives through ambiguity, from discovery to delivery.
  • Communicate clearly and effectively, translating technical details into business outcomes for diverse audiences.
  • Be skilled at navigating cross-functional dynamics and negotiating tradeoffs to move work forward.
  • Have proven experience with relational databases, such as Postgres or MySQL, and be able to quickly ramp on new technologies.
  • Have built and operated services on a major cloud platform, such as AWS, GCP, or Azure, and be comfortable with observability tools such as Datadog.
  • Understand the importance of data quality, workflow reliability, and system observability in supporting business-critical operations.
  • Value automated testing, continuous delivery, and observability as core pillars of engineering quality.

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.

About the Company

Stitch Fix

Personalized styling via data-driven subscriptions

Stitch Fix is an online styling service that uses data and algorithms to deliver curated clothing selections to customers. It works by clients filling a style profile with size, preferences, and budget; a team of stylists supported by algorithms selects a range of items, which are shipped to the customer's home for try-on. Customers pay a styling fee (which can be credited towards items they keep) plus the price of the items, and unsold items can be returned. The model combines subscription-style shipments and direct sales, including future direct-buy options and international expansion. Stitch Fix aims to simplify shopping by providing personalized fashion recommendations and convenient home delivery, leveraging data analytics to tailor selections to each user.

Company size
1,001-5,000
Company stage
IPO
Headquarters
San Francisco, CA
Founded
2011

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