Assistant Buyer

About the Company

Stitch Fix is reshaping retail by blending human judgment, data science, and Generative AI to create more personalized shopping experiences. The company emphasizes growing its people alongside its technology and offers the chance to contribute to a fast-moving, innovation-led environment.

Role Overview

Stitch Fix is looking for a detail-focused Assistant Buyer to support the Women’s Tops team. This position sits within the Women’s Knits & Sweaters category for Market Brands and works closely with Planning, Styling, Marketing, and other partners to support buying, planning, and assortment strategy. The role is responsible for a defined part of the business, using client feedback, sales performance, and market insights to shape seasonal line plans and improve inventory outcomes.

Key Responsibilities

• Manage a defined segment of the Women’s Knits and Sweaters Tops business, especially across Market brands, while building and executing merchandising and financial plans that support category goals.
• Create and refine seasonal line plans and product assortments for both market and private labels, and present recommendations to leaders and partner teams to secure alignment.
• Review sales, inventory, and client response data on a weekly, monthly, and quarterly cadence to help manage open-to-buy planning with the Planning team.
• Oversee the vendor mix strategically by negotiating pricing, contracts, and terms with suppliers to support margin, product quality, and on-time delivery.
• Track market movement and competitor activity continuously to identify trends, potential risks, and fresh opportunities relevant to Stitch Fix clients.
• Use AI tools and digital systems to streamline tasks such as summarizing feedback, drafting vendor communication, and supporting market research.
• Work in common productivity and internal systems, including Google Workspace, Microsoft Office, advanced Excel, and inventory/PLM tools.

About You

The ideal candidate brings a mix of retail buying knowledge, analytical thinking, and confidence in a fast-changing environment. Success in the role depends on sound judgment, strong organization, clear communication, and the ability to use data to guide decisions.

Requirements

• A bachelor’s degree or equivalent professional experience.
• At least 3 years of experience in retail buying or merchandising; women’s apparel or tops experience is preferred.
• Strong understanding of retail math, commercial metrics, financial planning, and the full product lifecycle.
• Experience in market buying, including managing multiple vendors and supporting negotiation efforts tied to margin and AUC.
• A practical, solution-oriented mindset with the confidence to take measured, data-backed risks in a dynamic setting.
• Ability to recognize trends quickly and respond with sound product decisions.
• Excellent verbal and written communication skills, including the ability to present clearly to leadership and work well in a feedback-driven culture.
• High attention to detail, strong organization, and proven time-management skills in a busy, nuanced environment.
• Proficiency with Google Workspace and Microsoft Office, especially Excel, plus familiarity with data tools that support buying decisions.
• Ability to sit for long periods, work on a computer or office equipment, communicate effectively, and travel up to 30% of the time.

Preferred Experience

• Background specifically in Women’s Tops.
• Advanced negotiation capability and experience improving vendor matrix performance.
• Exposure to AI-based retail forecasting or trend prediction tools.
• A positive, adaptable attitude with motivation to take on challenging work.

Important Notices

This role includes references to transparency in healthcare coverage information and applicant privacy materials. Applicants should also be aware of recruiting fraud precautions: official communication and application routes are limited to the company’s authorized career channels, and no recruiter should ask for payment, banking details, or sensitive personal information such as social security numbers.