Partner with engineering teams across the organization to understand their end-to-end workflows: local development, CI/CD, testing, deployment, observability, and documentation.
Collaboratively identify high-friction areas and work with teams to address them — through tooling, process improvements, shared accelerators, or just getting the right people in a room.
Establish measurement practices with teams to track developer experience improvements meaningfully.
Work with teams across the org to identify where AI-assisted development can measurably improve their work: code generation, testing, documentation, review, and beyond.
Design and deliver hands-on upskilling programs tailored to different roles and teams.
Contribute to URBN’s existing AI agent methodology and organizational intelligence proof of concept, building on work already underway.
Collaborate with security leadership to develop practical guidance on responsible AI use in an enterprise retail context.
Requirements
8+ years in software engineering, developer experience, or platform engineering, with demonstrated influence beyond your immediate team.
Technical depth in web application stacks (Python/Go/Node/mongoDB/elastic) , Enterprise data and analytics platforms, and cloud-native architectures.
Track record of improving developer experience or velocity at a company with 100+ engineers.