Senior Manager, Recommendation Algorithms

Stitch Fix

. Lead the strategy and execution of client-facing personalization across recommendations, ranking, search, discovery, outfits, and similar-item experiences .

Posted 9/30/2026full-timeRemote • United StatesSenior💰 $185,000 - $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying machine learning solutions, particularly in recommendation systems and personalization, while effectively communicating technical concepts to diverse audiences. Proven ability to lead cross-functional teams and drive experimentation and measurement to enhance client-facing experiences.

Highest-signal resume keywords

Machine Learning Solutions DesignRecommendation Systems DevelopmentA/B Testing and Evaluation FrameworksPython ProgrammingCloud Infrastructure Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningPersonalizationRankingSearch RelevanceContextual PersonalizationMulti-Objective OptimizationProduction-Grade CodeData SystemsScalable ML ArchitectureExperimentation

Soft Skills

CommunicationCollaborationInfluenceTrust BuildingTechnical Leadership

Tools & Technologies

Generative AIAI-Assisted Development ToolsDistributed Data SystemsProduction MonitoringOperational Support

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceMaster’s Degree or PhD Preferred

Industry Keywords

E-CommerceRetailClient Satisfaction MetricsOpportunity SizingModel Performance

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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