Healthcare AI Platform Engineering Manager

Commure

San Francisco (CA)

On-site

USD 190,000 - 230,000

Full time

7 days ago
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Job summary

Commure is seeking an Engineering Manager for the Provider Pod to lead a full‑stack team delivering AI‑driven clinical documentation, notes, and workflows within real healthcare environments.

You will own people leadership, technical direction, and roadmap execution across Python backends, TypeScript/React surfaces, and AI/LLM workflows, partnering with Product, Design, Clinical, AI/ML, Data, Platform, and Air Billing to ship scalable, trusted features.

Qualifications

  • 6+ years of software engineering experience with 2+ years in management
  • Proven success hiring, coaching, and developing high‑performing teams
  • Hands‑on experience shipping AI-powered features in production
  • Strong product judgment and cross‑functional leadership in fast‑moving environments
  • Bonus: experience with EHRs, healthcare interoperability, HIPAA or SOC 2

Responsibilities

  • Lead and grow the Provider Pod: recruit, coach, and develop engineers
  • Own roadmaps and outcomes for scribe docs, clinical assistant, and AI skills
  • Set technical direction across Python services and TypeScript/React surfaces
  • Collaborate with Product, Design, clinical, AI/ML, Data, Platform, and Air Billing
  • Raise engineering bar with planning, quality, testing, deployment, observability
  • Drive reliability, security, performance and on-call readiness
  • Foster high ownership culture and strong judgment

Skills

Full-stack depth
Python
TypeScript/React
APIs
Data systems
Cloud infrastructure

Education

Bachelor's or Master's in CS/Engineering

Tools

LLM APIs

Job description

Commure is seeking an Engineering Manager for the Provider Pod to lead a full‑stack team delivering AI‑driven clinical documentation, notes, and workflows within real healthcare environments.

You will own people leadership, technical direction, and roadmap execution across Python backends, TypeScript/React surfaces, and AI/LLM workflows, partnering with Product, Design, Clinical, AI/ML, Data, Platform, and Air Billing to ship scalable, trusted features.

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