Magical

Senior Engineering Manager

Toronto · Senior

Sponsorship not specifiedDetected 12 days ago

Platform EngineeringLLMsAgentic AIIncident ResponseComplianceProject ManagementHIPAALeadershipCommunicationMentoring

About the role

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

This is not the right role for someone who wants to manage from a distance.
Cross-functional execution with Product, Design, Deployment, Security, and customer-facing teams
You will set a high bar for execution, develop engineers, drive technical decisions, and work closely with Product, Design, Deployment, and GTM.
That is what we are building.
We are looking for a deeply technical, AI-native Senior Engineering Manager to lead a team of up to 12 engineers as we scale from early customer pull toward category-defining execution.

Experience leading a high-performing engineering team through an ambiguous, fast-growing stage
Meaningful experience with LLMs, agents, evals, orchestration, model behavior, or other production AI systems
The ability to earn the respect of strong engineers without needing to make every technical decision yourself
Experience turning broad objectives into clear ownership, technical plans, and measurable outcomes

AI agents that can execute real work across fragmented systems, adapt as workflows change, and operate with the reliability, security, and observability healthcare requires.
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.

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.
Comfort operating close to customers and understanding the real-world consequences of engineering decisions
A pure AI researcher who does not want to own reliability, customers, and business outcomes

This listing is sourced directly from Magical's careers page and normalized into a canonical job model.