Top Tech Jobs & Startup Jobs

Lead technical design and execution for product catalog systems, owning onboarding, attribute management, enrichment, validation, and readiness tooling. Build scalable services and data models, drive cross-functional discovery, lead initiatives end-to-end, improve data quality, mentor engineers, and ensure reliability, performance, and observability of catalog workflows.

Lead product vision and strategy for financial systems, drive automation of financial processes, enhance data quality, and deliver impactful analytics solutions.

Lead the Product Algorithms portfolio for Client Experience, setting strategy and roadmaps for growth, styling, and commerce algorithms. Drive adoption of state-of-the-art ML/AI and experimentation, improve product analytics and operational readiness, manage cross-functional delivery, and coach managers and senior ICs to deliver measurable client, stylist, and business outcomes.

Design, develop, and maintain scalable ML and AI platform infrastructure for model training, deployment, feature engineering, candidate generation, agent deployment, and observability. Collaborate with data scientists and engineers, support platform operations, drive improvements, codify best practices, and influence platform investments to enable production ML systems at scale.

Join Stitch Fix's styling talent community to stay informed about future stylist opportunities, share your info, and receive updates on the company's culture.

Lead cross-channel CRM lifecycle programs (Email, Push, SMS, packaging inserts) to reduce churn and drive retention. Partner with Creative, Data Science, Product, and Engineering to design personalized, data-driven campaigns, optimize workflows with ESPs and AI tools, and report performance and strategic insights to leadership.

The Product Manager will lead the Household team to enhance personalized shopping experiences across categories, focusing on strategy, platform scalability, and engagement while collaborating with cross-functional teams to drive growth and adoption.

Lead a team of machine learning engineers and data scientists to develop and deploy styling algorithms for personalized shopping experiences. Champion AI and ML initiatives, collaborate with stakeholders, and oversee the entire algorithm development process.

Lead a team of machine learning engineers and data scientists to develop algorithms for personalized shopping, enhancing client engagement and driving growth through AI and data science.

Partner with Product Designers and Engineers to build high-fidelity interactive prototypes, reusable components, and tooling. Introduce and evaluate AI and modern technologies to improve design workflows, document best practices, and mentor teams to elevate design quality and implementation.