Director, Product Algorithms

About the role

Stitch Fix is looking for a Director, Product Algorithms to lead the product-facing Algorithms portfolio across Client Experience. This leader will oversee Growth Algorithms, Styling Algorithms, and Fix & Freestyle Algorithms, partnering closely with Product, Engineering, Design, Styling, Marketing, Merchandising, Finance, Enterprise Analytics, Data Platform, and DSN.

Responsibilities

• Lead the Product Algorithms portfolio across Growth Algorithms, Styling Algorithms, and Fix & Freestyle Algorithms, driving measurable outcomes across acquisition, onboarding, lifecycle engagement, retention, styling quality, Fix, Freestyle, outfitting, and related commerce experiences.
• Set the vision for how Client Experience Product uses data science, machine learning, AI, experimentation, and product analytics capability to create more personalized and effective client and stylist experiences.
• Raise the innovation bar across Product Algorithms by identifying, adapting, and scaling state-of-the-art techniques in data science, machine learning, AI, experimentation, and personalization that can create meaningful client, stylist, and business impact.
• Improve and optimize CX experimentation strategy, including test design, launch decisioning, measurement quality, interpretation standards, guardrails, learning velocity, and more efficient use of limited people, expertise, and execution capacity.
• Shape product analytics capability and standards in partnership with Enterprise Analytics, Data Platform, Product, and Engineering, improving opportunity sizing, product diagnosis, prioritization, launch readiness, and post-launch learning.
• Lead, coach, and develop managers and senior ICs, creating clear expectations, strong feedback loops, healthy team rhythms, and a high bar for technical and product leadership.
• Represent product-facing Algorithms in cross-functional and executive forums, translating technical work into clear business impact, risks, tradeoffs, and decisions.
• Drive a culture of ownership for holistic outcomes, with teams proactively engaging partners and connecting algorithmic work to client, stylist, and business results.

Requirements

• 10+ years of relevant experience in data science, machine learning, experimentation, product analytics capability, innovation, or algorithmic product development, including 5+ years leading teams and experience managing managers or senior technical leaders.
• Strong technical fluency in modern data science, machine learning, AI/LLM capabilities, experimentation, measurement, and production algorithmic systems.
• A track record of bringing modern data science, ML, AI, experimentation, or personalization techniques into real product environments, with the judgment to distinguish high-impact innovation from novelty.
• Experience translating ambiguous business priorities into clear technical and analytical strategies, roadmaps, and measurable outcomes.
• A strong product mindset, with the ability to connect client needs, business goals, partner constraints, and technical possibilities into coherent strategy.
• Experience improving experimentation systems, including test design, decision frameworks, metric interpretation, launch guardrails, and learning velocity.
• Experience partnering with Enterprise Analytics, Data Platform, Product, Engineering, Design, Finance, Marketing, Merchandising, or similarly cross-functional stakeholder groups.
• Strong people leadership skills, including coaching managers and senior ICs, raising execution quality, supporting development, and building healthy team operating rhythms.
• Strong operating discipline, including planning, prioritization, dependency management, execution follow-through, incident response, and continuous improvement.
• Ability to communicate clearly with technical, product, and executive audiences, especially when decisions require tradeoffs across business impact, client experience, and technical risk.
• A bias toward pragmatic innovation: using AI, ML, experimentation, and analytics to create measurable productivity and product impact, not just interesting exploration.

Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• Master's degree in Computer Science, Statistics, Mathematics, or a related field preferred.
• Experience with large-scale data processing and analysis tools such as Hadoop, Spark, or similar technologies.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
• Experience with experimentation platforms such as AB Testing, Optimize, or similar tools.
• Experience with data visualization tools such as Tableau, Power BI, or similar tools.
• Experience with agile methodologies and software development processes.