Teams at Midi Health

Own the growth product roadmap across patient acquisition, registration, onboarding, activation, and retention. Lead A/B experimentation, funnel and cohort analysis, UX optimization, and conversion initiatives. Partner cross-functionally with Marketing, Design, Engineering, and Data to set priorities, ship improvements, and drive measurable growth metrics including conversion, activation, retention, and lifetime value.

Build and deploy LLM-powered features for clinical, patient, and operational workflows. Responsibilities include prompt design, retrieval, tool use, agent orchestration, evaluation harnesses, feedback loops, production operations, and AI engineering tooling. Partner with clinical, product, and safety stakeholders to ensure responsible healthcare-grade AI. Mentor teammates, communicate model behavior clearly, and stay current with emerging AI research and development practices.

Leads AI engineering strategy across clinical, patient, and operational products. Designs and operates production retrieval, orchestration, agentic, and evaluation systems, establishing standards for AI safety, observability, responsible deployment, and reliability. Partners with clinical, product, and executive leaders on the AI roadmap, mentors engineers, evaluates emerging models and tools, and codes regularly in Python.