Senior Manager, Recommendation Algorithms

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $185k - $245k / year

⏰ Full Time

🟠 Senior

👔 Manager

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Stitch Fix

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2011

📣 Marketing

📦 Logistics

💼 Consulting

💰 $36.9M Venture Round on 2017-11

Marketing • Logistics • Consulting

Stitch Fix is a personal styling service that offers a unique and personalized approach to fashion for women, men, and kids. Clients start by taking a style quiz, which helps Stitch Fix understand their preferences, sizes, and budget. Based on this information, a personal stylist selects five personalized clothing pieces that are shipped directly to the client's door. Customers can choose to keep and purchase any items they like, with the $20 styling fee applicable to kept items. Stitch Fix carries a wide range of sizes and offers free shipping and returns. The service is flexible, with no subscription required, allowing customers to order style boxes on demand or at regular intervals. Stitch Fix also offers a 'Freestyle' shopping option where clients can browse curated suggestions based on their preferences. The company covers a wide variety of styles from numerous brands, ensuring there are options to suit various fashion tastes and needs.

📋 Description

• Lead the strategy and execution of client-facing personalization across recommendations, ranking, search, discovery, outfits, and similar-item experiences • Shape the roadmap with Product, Engineering, Design, Merchandising, Analytics, and Algorithms partners • Drive experimentation and measurement through offline evaluation and online A/B testing • Use engagement, selection, keep rate, items sold, revenue, margin, and client satisfaction metrics to guide decisions • Own the end-to-end algorithm lifecycle from opportunity sizing and modeling through experimentation, production deployment, monitoring, and operational support • Partner with Engineering to build scalable, reliable, observable, and explainable recommendation systems • Advance the team’s use of generative AI, LLM-based evaluation, and emerging technologies • Foster technical excellence, ownership, learning, and collaboration

🎯 Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Physics, Operations Research, or another quantitative field • 5+ years of experience designing and deploying machine learning solutions, ideally in recommendation systems, search, ranking, personalization, e-commerce, or retail • Strong applied knowledge of candidate generation, scoring, ranking, retrieval, diversification, contextual personalization, search relevance, or multi-objective optimization • 2+ years of experience as a technical lead or people manager • Ability to write and review production-grade code, ideally in Python • Experience with cloud infrastructure, distributed data systems, scalable ML architecture, experimentation, offline evaluation, and production monitoring • Experience designing and interpreting A/B tests and evaluation frameworks • Ability to connect model performance to client and business outcomes • Ability to communicate technical concepts, uncertainty, and tradeoffs to technical and non-technical audiences • Ability to build trust and influence roadmaps across cross-functional teams • Working knowledge of generative AI, AI-assisted development tools, and emerging AI/ML approaches • Master’s degree or PhD preferred

🏖️ Benefits

• Competitive salary • Equity • Annual bonus • New hire and ongoing grants of restricted stock units, depending on employee and company performance • Medical benefits • Dental benefits • Vision benefits • Comprehensive benefits • Meaningful career growth