Build AI-powered product experiences that help users create, configure, evaluate, and improve workflows across North.
Design and ship new interfaces for interacting with models, including workflow builders, proactive assistants, review flows, and other human-AI collaboration patterns.
Build eval, observability, and feedback systems that measure whether AI experiences succeed in real enterprise workflows.
Improve AI reliability through product design, prompting, context construction, tool-use strategies, instrumentation, and feedback loops.
Turn production failures, user feedback, and real-task data into better product behavior, stronger eval suites, regression tests, and signals for modelling.
Work closely with modelling, product, design, customer teams, and domain experts to define what “good” means for specific workflows and ship measurable improvements.
