Senior Manager, Growth Algorithms

stitchfix; United States; Remote; USD 200,000 - 245,000; Full time

Benefits offered by this job

Annual bonus eligibility

RSU grants

Medical, dental, vision insurance

Job summary

stitchfix is seeking a senior leader to head the Growth Algorithms team, blending human styling with machine learning and generative AI to own data science across the client lifecycle—from acquisition to retention. You will shape experimentation strategy and personalization across the business, partnering with Product, Marketing, and Engineering to implement scalable AI-driven initiatives.

The role demands 5+ years applying ML and causal inference to growth and lifecycle problems, plus 2+ years

Qualifications

• 5+ years applying ML, experimentation, and causal inference to business problems
• 2+ years as a technical team lead or people manager
• Ability to partner across product, marketing, engineering and business leaders

Responsibilities

• Set a vision for growth algorithms linking acquisition, activation, retention, and reactivation goals
• Partner with Product, Marketing, Engineering, Finance, Design, and Analytics to define experimentation and AI/ML measurement practices
• Guide strategy for Next Best Action, lifecycle personalization, CRM, and incentives
• Elevate experimental design and interpretation balancing statistics with business context
• Lead a team of data scientists from opportunity sizing through deployment and monitoring

Skills

Machine learning

Experimentation

Causal inference

Cross-functional collaboration

Leadership

Education

Bachelor's degree in a quantitative field

Master's or PhD preferred

Job description

Role overview

A senior management role leading the growth algorithms team at a personalized retail company that blends human styling expertise with machine learning and generative AI. The leader owns data science across the full client lifecycle—paid media, onboarding, CRM, incentives, reactivation, and retention—and shapes experimentation and personalization strategy across the business.

Responsibilities

• Set and communicate a vision for growth algorithms that turns acquisition, activation, retention, and reactivation goals into a focused portfolio
• Act as a trusted partner to Product, Marketing, Engineering, Finance, Design, and Enterprise Analytics, defining shared practices for experimentation, product analytics, and AI/ML measurement
• Guide strategy for Next Best Action, lifecycle personalization, predictive value, CRM, paid media, onboarding funnels, and incentives
• Raise the bar for experimental design and interpretation, balancing statistical evidence with business context
• Lead a team of full-stack data scientists from opportunity sizing through production deployment, monitoring, and incident response
• Make hard portfolio choices, retiring low-value work, consolidating overlapping capabilities, and focusing capacity on highest-impact opportunities
• Build an inclusive, high-performing team grounded in ownership, candid feedback, and continuous learning

Requirements

• Bachelor's degree in a quantitative field such as Computer Science, Statistics, Economics, Physics, Mathematics, or Operations Research; master's or PhD preferred
• 5+ years applying machine learning, experimentation, and causal inference to business problems in growth, lifecycle, marketing, personalization, e-commerce, or retail
• 2+ years as a technical team lead or direct people manager
• Track record of developing data scientists and lifting a team's technical bar
• Ability to operate as a thought partner across product, engineering, and business leaders

Benefits and work setup

• Salary range $200,000–$245,000 USD plus eligibility for annual bonus and restricted stock unit grants
• Medical, dental, vision, and additional benefits offered
• Compensation varies by location and is reviewed against experience and performance
• Collaborative, low-ego environment that leverages AI tools and modern development practices