Teams at Numa

Build and deploy conversational AI systems, production ML models, evaluation frameworks, simulations, CI quality gates, and ML platform tooling. The role includes model serving, LLM infrastructure, observability, and real-time voice or SMS AI applications. Responsibilities also include technical design, code reviews, documentation, mentorship, production ownership, and improving AI development practices across teams.

Own end-to-end product design for major AI-powered dealership software features, from problem framing and exploration through launch and iteration. Partner with Product and Engineering, conduct customer research, design complex workflows, contribute to design systems, and provide critique. The role requires strong product judgment, interaction and visual design skills, customer empathy, autonomy, and comfort working in an ambiguous, fast-moving startup environment.