Engineering Manager - Healthcare H/F

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. 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.
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.

This is not a traditional engineering management role.
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.

The performance, development, and effectiveness of a team of up to 12 engineers
Technical execution across a meaningful area of Magical’s AI platform
Engineering quality, delivery speed, ownership, planning, architecture reviews, and incident response
Clear technical direction within your team, in partnership with senior engineers and engineering leadership
Translating ambiguous product and customer problems into executable technical plans
Improving the platform so customer deployments become faster, more repeatable, and more scalable
Cross-functional execution with Product, Design, Deployment, Security, and customer-facing teams

Experience leading a high-performing engineering team through an ambiguous, fast-growing stage
Strong technical judgment in production software systems, architecture, reliability, and operational excellence
The ability to earn the respect of strong engineers without needing to make every technical decision yourself
Strong product judgment and an instinct for balancing speed, quality, scalability, and customer impact
A track record of developing engineers, addressing performance issues directly, and raising the talent bar
Experience turning broad objectives into clear ownership, technical plans, and measurable outcomes
Comfort operating close to customers and understanding the real-world consequences of engineering decisions
Familiarity with enterprise security and healthcare trust requirements, including HIPAA, SOC 2, PHI, permissions, auditability, logging, and data access
That is the engineering problem.
As an Engineering Manager at Magical, you will help turn emerging AI capabilities into production systems that healthcare organizations can trust with their most important operational workflows.
You will have the opportunity to shape the team, the technical foundation, and the operating culture during a period of rapid growth.

A manager who has moved too far away from architecture, technical tradeoffs, and production systems
A pure AI researcher who does not want to own reliability, customers, and business outcomes
A leader who avoids difficult performance conversations or allows standards to drift
A project manager who coordinates work but cannot challenge the technical plan
A backend-only leader who does not want to engage deeply with Product, Deployment, and customer problems
A manager who measures success by output rather than shipped outcomes, system quality, and team growth
We need someone technical enough to earn trust, decisive enough to create clarity, and hands-on enough to help the team move faster.