• Lead and grow a senior team of frontend platform engineers supporting Ambient AI • Set clear technical and execution standards in a high-bar, healthcare-grade environment • Coach engineers on scope ownership, technical decision-making, and cross-team influence • Hire and develop engineers who can operate across platform, product, and design boundaries • Own planning, execution, and delivery for platform initiatives with clear product impact • Own the frontend platform used across Ambient experiences (web, mobile, embedded surfaces) • Lead architecture for real-time and async workflows (audio capture, streaming updates, AI state transitions) • Build and scale shared UI primitives, component libraries, and design systems used across Ambient • Improve frontend performance, latency, reliability, and offline/poor-network behavior • Establish patterns for error handling, loading states, partial data, and confidence signaling in AI workflows • Create strong frontend abstractions that reduce duplication across Ambient product teams • Improve local dev, testing, CI/CD, and release workflows for frontend engineers • Define standards for frontend observability, performance metrics, and user-impact monitoring • Partner with backend and ML teams to define clean contracts between AI systems and UI layers • Partner deeply with Product to translate clinical workflows into scalable UI platforms • Work closely with Design to evolve clinician-grade design systems and accessibility standards • Collaborate with Compliance and Security to ensure frontend patterns meet healthcare requirements • Influence frontend technical direction across the broader engineering organization • Drive architectural reviews and RFCs for major Ambient frontend initiatives • Help teams navigate tradeoffs between speed, quality, and safety in AI-driven UX • Stay close enough to the code and architecture to unblock complex problems when needed • Ensure platform decisions anticipate future scale (new care settings, modalities, and products