Algorithms Jobs in California (NOW HIRING)

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.

This role sits at the intersection of product strategy, data science, machine learning, AI, experimentation, innovation, and product analytics capability. The leader will help Client Experience Product use data and algorithms to create more personalized, effective, and inspiring client and stylist experiences, while improving the operating discipline needed to deliver measurable business impact with limited people, expertise, and execution capacity.

This leader will also help raise the innovation bar for CX Algorithms: improving and scaling our use of state-of-the-art data science, machine learning, AI, and experimentation techniques, while helping Stitch Fix reestablish itself as a data science leader in personalized client and stylist experiences.

• 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.
• Translate company and CX priorities into high-impact algorithmic, analytical, and AI-enabled roadmaps that balance client outcomes, stylist effectiveness, revenue, inventory, technical feasibility, and execution capacity.
• 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.
• 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.
• 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.
• Improve work planning and execution discipline across the portfolio, including clearer priorities, stronger sequencing, better dependency management, and more predictable delivery.
• Strengthen incident management and operational readiness for product-facing algorithmic systems, including clearer ownership, faster diagnosis, stronger cross-functional response, and better learning loops after incidents.
• 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.

• 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.

• Product Algorithms has a clearer strategy, stronger decision rights, and tighter connection to CX Product priorities.
• Growth, Styling, and Fix & Freestyle Algorithms teams are planning and executing more consistently, with clearer priorities and fewer ambiguous dependencies.
• Experimentation quality and efficiency improve, helping teams make better decisions with limited people, expertise, and execution capacity.
• Product analytics capability and standards are better integrated into CX planning, diagnosis, launch readiness, and learning loops.
• CX Algorithms is increasing its use of state-of-the-art techniques in practical, measurable ways, helping Stitch Fix reestablish itself as a data science leader in personalized client and stylist experiences.
• People managers and senior ICs have clearer expectations, stronger coaching, and healthier operating rhythms.
• Product-facing algorithmic systems have stronger ownership, operational readiness, and incident management practices.
• AI/ML investments are more clearly connected to measurable client, stylist, and business outcomes.

• We are a group of bright, kind people who are motivated by challenge. We value integrity, innovation and trust. You'll bring these characteristics to life in everything you do at Stitch Fix.
• We cultivate a community of diverse perspectives- all voices are heard and valued.
• We are an innovative company and leverage our strengths in fashion and tech to disrupt the future of retail. 
• We win as a team, commit to our work, and celebrate grit together because we value strong relationships.
• We boldly create the future while keeping equity and sustainability at the center of all that we do. 
• We are the owners of our work and are energized by solving problems through a growth mindset lens. We think broadly and creatively through every situation to create meaningful impact.
• We offer comprehensive compensation packages and inclusive health and wellness benefits.