Top Tech Jobs & Startup Jobs in Austin, TX

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 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.

Architect and operate the People Technology platform: design scalable, secure Workday-based systems, build Workday Extend applications and Workday Studio integrations, implement event-driven APIs and data pipelines, champion AI-enabled HR workflows, ensure observability and SOX-compliant security, and partner with cross-functional teams to translate HR needs into technical roadmaps.

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.

Design, build, and administer scalable, secure HRIS integrations (Workday and related systems). Implement event-driven patterns, REST/SOAP APIs, data pipelines, monitoring, and security (OAuth2, encryption, SOX). Lead upgrades and enhancements across Workday, Greenhouse, ADP, Prism, and BI tools. Translate business requirements, support end users, and collaborate with cross-functional teams to deliver People technology solutions.

Build and improve Stitch Fix's cloud-native platform and developer tooling. Develop IaC, CI/CD, containerized workflows, and automation to improve deployment reliability and developer experience. Collaborate with engineers, debug systems, and explore LLM-powered tooling under mentorship.

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.

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.