Job description

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. About You You have 3+ years of software engineering experience with demonstrated impact in complex domains. You have a Bachelor's degree in an Engineering or Computer Science field. You have experience building and operating large-scale production systems, data platforms, workflow tools, or product information systems. You bring strong domain interest or experience in catalog management, product data, merchandising systems, e-commerce, supply chain, or similarly operationally intensive environments. You are fluent in at least one modern programming language, such as Go, Java, Ruby, Python, or similar, and are willing to work across languages. You have a proven track record of independently driving initiatives through ambiguity, from discovery to delivery. You communicate clearly and effectively, translating technical details into business outcomes for diverse audiences. You are skilled at navigating cross-functional dynamics and negotiating tradeoffs to move work forward. You have proven experience with relational databases, such as Postgres or MySQL, and can quickly ramp on new technologies. You have built and operated services on a major cloud platform, such as AWS, GCP, or Azure, and are comfortable with observability tools such as Datadog. You understand the importance of data quality, workflow reliability, and system observability in supporting business-critical operations. You value automated testing, continuous delivery, and observability as core pillars of engineering quality. Why you'll love working at Stitch Fix... We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You’ll bring these characteristics to life in everything you do at Stitch Fix. We cultivate a community of diverse perspectives— all voices are heard and valued. We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. We win as a team, commit to our work, and celebrate grit together because we value strong relationships. We boldly create the future while keeping equity and sustainability at the center of all that we do. We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact. We offer comprehensive compensation packages and inclusive health and wellness benefits. Compensation and Benefits This role will receive a competitive salary, benefits, and equity. The salary for US-based employees hired into this role will be aligned with the range below, which includes our three geographic areas. A variety of factors are considered when determining someone’s compensation–including a candidate’s professional background, experience, location, and performance.This position is eligible for new hire and ongoing grants of restricted stock units depending on employee and company performance. In addition, the position is eligible for medical, dental, vision, and other benefits. Applicants should apply via our internal or external careers site. Salary Range $125,000 — $186,000 USD This link leads to the machine readable files that are made available in response to the federal Transparency in Coverage Rule and includes negotiated service rates and out-of-network allowed amounts between health plans and healthcare providers. The machine-readable files are formatted to allow researchers, regulators, and application developers to more easily access and analyze data. Please review Stitch Fix's US Applicant Privacy Policy and Notice at Collection here: stitchfix.com Recruiting Fraud Alert: To all candidates: your personal information and online safety are top of mind for us. At Stitch Fix, recruiters only direct candidates to apply through our official career pages at [application link] or web.fountain.com . Recruiters will never request payments, ask for financial account information or sensitive information like social security numbers. If you are unsure if a message is from Stitch Fix, please email careers@stitchfix.com .

Requirements

Must-haves

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

Nice-to-haves

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Application prep

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Keywords to mirror

aigojavapythonpostgresawsgcpazure

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

Wellness