Engineering Manager, Provider Experience

Commure•Los Angeles, CA
•$200,000 - $250,000

About The Position

The Engineering Manager for the Provider Pod leads a full-stack team building AI-powered tools and core product experiences for clinicians. The team develops real-time clinical documentation, a conversational clinical assistant grounded in patient context and medical literature, and reusable AI agents and workflows. It also owns provider-facing charting, coding, treatments and flowsheets, orders, labs, prescriptions, and signed encounters. The role owns people leadership, technical direction, roadmap execution, and operational excellence across Python backend services, TypeScript/React product surfaces, and AI/LLM workflows. The Engineering Manager partners with Product, Design, Clinical, AI/ML, Data, Platform, and RCM teams to deliver intuitive, scalable, and reliable features for clinical environments. This is a hands-on leadership role on a fast-moving team.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • At least 6 years of software engineering experience, including at least 2 years managing or formally leading engineers.
  • Proven success hiring, coaching, and developing high-performing engineering teams.
  • Strong full-stack technical depth across Python, TypeScript/React, APIs, data systems, containers, and cloud infrastructure.
  • Hands-on experience integrating LLM APIs or shipping AI-powered features in production.
  • Track record of driving complex, user-facing products from early ideation through successful production deployment.
  • Strong product judgment, communication, and cross-functional leadership in fast-moving environments.

Nice To Haves

  • Experience with EHRs, clinical software, healthcare interoperability, or regulated environments such as HIPAA and SOC 2.

Responsibilities

  • Recruit, coach, and develop a high-performing team of full-stack engineers.
  • Drive the roadmap and execution across scribe documentation, the clinical assistant, reusable AI skills, and core provider workflows.
  • Guide architecture across Python services, TypeScript/React experiences, data systems, and AI/LLM workflows.
  • Partner with Product, Design, clinical experts, AI/ML, Data, Platform, and Air Billing to ship solutions for clinical environments.
  • Establish practices for planning, code quality, testing, deployment, and observability while keeping the team fast and pragmatic.
  • Ensure provider-facing systems are reliable, secure, and performant, and supported by effective on-call and incident response.
  • Mentor technical leaders and foster sound judgment, customer empathy, healthy debate, and a bias toward action.
  • Act in accordance with information security policies, protect organizational assets, report confirmed or potential security events or risks, and attest to these requirements upon hire and annually.
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