Head of Growth Algorithms & Personalization

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

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