Senior Engineering Manager - AI Enablement & EHR Agents

New
Remote, United StatesFull-TimeManager
Salary not disclosed
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Job Details

Experience
7+ years total engineering experience including 3+ years managing engineers
Required Skills
AWSPythonPeople ManagementTypeScriptFastAPI

Requirements

  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 7+ years of total professional engineering experience.
  • 3+ years of direct people management experience.
  • Proven experience managing teams of 5+ engineers through the delivery of complex production software.
  • Strong technical background with the ability to participate in architectural and code review discussions.
  • Demonstrated track record of hiring, mentoring, and developing engineers across various seniority levels.
  • Experience leading software delivery within regulated environments such as healthcare or finance.
  • Willingness to quickly ramp up on HIPAA constraints and PHI-handling systems.
  • Preferred: Prior experience managing multiple teams or concurrent workstreams.
  • Preferred: Familiarity with agentic coding tools like Claude Code, Cursor, or Copilot agents.
  • Preferred: Background in healthcare technology or EHR integration.
  • Preferred: Experience running internal developer enablement or platform-adoption initiatives.

Responsibilities

  • Manage and grow two engineering teams, totaling approximately 7 engineers, including coaching, career development, and performance management.
  • Drive AI Enablement team execution against the AI Unlock program, including marketplace, installer, gateway, and education initiatives.
  • Manage EHR Agents team execution on clinical and administrative workflow automation, specifically Athena lab-ordering and G-code billing roadmaps.
  • Coordinate cross-team delivery, manage dependencies, and facilitate operational rhythms such as sprint planning and retrospectives.
  • Oversee hiring and onboarding for 4 net-new AI Enablement roles and backfills for the EHR Agents team.
  • Communicate progress, risks, and requirements to AI Platform & Innovation leadership and the broader technology organization.
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