AI Engineering Manager

AI ENGINEERING MANAGER

BUILD THE AGENTIC WORKFORCE FOR HEALTHCARE

Magical is building an AI-native automation platform for enterprise healthcare.

We believe healthcare organizations will not solve their operational problems by buying another 50 point solutions. They will build an agentic workforce: AI agents that can execute real work across fragmented systems, adapt as workflows change, and operate with the reliability, security, and observability healthcare requires.

That is what we are building.

Our work matters. Magical automations have helped identify more than 200 positive cancer cases, match suicidal veterans with mental health care, improve access to care, and help providers get paid in a $5.2 trillion healthcare system still held together by too much manual work.

We are looking for a deeply technical, AI-native Engineering Manager to lead a team of up to 12 engineers as we scale from early customer pull toward category-defining execution.

THE ROLE

This is not a traditional engineering management role.

We are not looking for someone whose primary contribution is running ceremonies, tracking tickets, or managing from a distance. We need a technical, product-minded leader who can raise the quality and velocity of a team while remaining close to the architecture, the product, and the customer problems we are solving.

You will lead a team responsible for building and operating critical parts of Magical’s AI platform. You will set a high bar for execution, develop engineers, drive technical decisions, and work closely with Product, Design, Deployment, and GTM.

The right person can move from a one-on-one to an architecture review, unblock a production issue, challenge a roadmap decision, and help close an exceptional candidate without losing context or momentum.

WHAT YOU WILL OWN

- The performance, development, and effectiveness of a team of up to 12 engineers

- Technical execution across a meaningful area of Magical’s AI platform

- Engi...