Senior Engineering Manager - Merchandise
Stitch Fix
See how well this job matches your profile
Sign up to get an AI match score and generate a tailored application in seconds.
Get your match scoreTags
About the role
Role overview
Senior Engineering Manager for Stitch Fix’s Merchandising Engineering team, leading and growing engineering teams while owning and improving the end-to-end procurement journey—from product discovery and buying decisions through purchase orders and physical receipt in warehouses.
Responsibilities
- Lead and grow engineering teams with a people-first, empathetic, ownership-oriented culture.
- Own and improve the procurement lifecycle: product discovery → buying decisions → purchase orders → warehouse receipt.
- Mentor and develop engineers, setting clear technical and execution standards.
- Partner with business stakeholders, algo/science, product management, and design to set priorities and plan the roadmap.
- Facilitate technical design discussions, remove blockers, and align stakeholders.
- Drive engineering programs focused on reliability, productivity, process, and quality.
- Recruit and retain high-performing engineering talent and build diverse teams.
- Ship features that delight internal users (buyers, planners, pricing, product lifecycle partners).
Requirements
- 4+ years of leading and managing high-performing engineering teams.
- Strong strategic thinking and proactive identification of business opportunities.
Nice-to-haves / additional signals
- Comfort working in a distributed team across multiple time zones.
- Experience improving workflows, reducing manual effort, and building scalable systems with measurable business impact.
Team context
The Selection Product Team supports inventory intelligence and merchandising decision-making through tools spanning Product Catalog, Buying, Selling / Product Lifecycle Management (PLM), directing over $100M in inventory investments and enabling $1.3B+ annualized revenue.
About Stitch Fix
Stitch Fix is an online personal styling service that helps customers discover clothing they will love and that fits well. It combines expert stylists with AI and recommendation algorithms to match clients with brands and individualized recommendations, optimizing inventory and sales to deliver a strong client experience.
Scraped 4/23/2026