The recruiter will independently manage the full-cycle recruiting process across various corporate functions, from intake to offer. They will build strong partnerships with hiring managers and utilize data and AI tools to create efficient, high-quality talent pipelines.
Stitch Fix
11 Remote Job Openings at Stitch Fix
You will architect and own the People Technology ecosystem, designing scalable, AI-ready systems that automate HR processes. You will also lead technical strategy and build complex integrations to connect HRIS systems across the enterprise.
The Lead Integration Engineer will design and maintain scalable, AI-ready integrations between HRIS systems and the broader technology ecosystem. This role involves collaborating with cross-functional teams to automate HR processes while ensuring system security, compliance, and technical excellence.
Join a talent community to be notified of future styling opportunities. Stay updated on business updates and employee testimonials via regular newsletters.
Build high-fidelity interactive prototypes and reusable technical components to bridge the gap between design and engineering. Implement emerging AI technologies and modern development practices to optimize design workflows and product quality.
Lead the accounts payable and T&E teams while managing the full procure-to-pay lifecycle and monthly close processes. Partner cross-functionally to implement system updates and leverage AI to optimize financial workflows.
Develop and evolve an internal platform-as-a-service to improve developer workflows and deployment reliability. Collaborate with engineers to identify friction points and implement automation for cloud-native infrastructure.
Lead the technical direction and execution of systems powering the product data ecosystem and catalog management. Design scalable services to ensure product data quality and efficiency across the product lifecycle.
Design and maintain scalable infrastructure for ML model training, deployment, and feature engineering. Collaborate with data scientists to optimize platform capabilities and drive AI agent observability.
Lead a team of machine learning engineers and data scientists to develop and deploy styling algorithms and AI personalization experiences. Collaborate with cross-functional partners to optimize business objectives and oversee the end-to-end algorithm development lifecycle.
Lead the product vision and roadmap for financial systems to automate end-to-end processes and enhance data quality. Drive the modernization of financial technology by implementing AI-driven solutions and collaborating with cross-functional stakeholders.