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Senior Engineering Manager

MAGICAL
Toronto, CAN
Full Time
Senior
1 weeks ago
LLMsAI agentsOrchestrationProduction AI systemsArchitectureReliability engineering
Free

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LLMsAI agentsOrchestration
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About the role

  • Magical is building an AI native automation platform for enterprise healthcare.
  • We are looking for a deeply technical, AI native Senior Engineering Manager to lead a team of up to 12 engineers.
  • This is not a traditional engineering management role; 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.

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
  • Engineering quality, delivery speed, ownership, planning, architecture reviews, and incident response
  • The systems required to make probabilistic AI reliable enough for enterprise healthcare workflows
  • 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
  • Hiring, onboarding, coaching, and retaining exceptional engineers
  • Creating an environment where engineers have high autonomy, clear accountability, and room to grow
  • Cross functional execution with Product, Design, Deployment, Security, and customer facing teams

What we are looking for

  • 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
  • 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
  • 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
  • Low ego, high standards, direct communication, and founder level urgency

What this role is not

  • Not a process first manager whose primary value is ceremonies, reporting, and administration
  • Not a big company operator who wants to introduce heavy process before the team needs it
  • Not a manager who has moved too far away from architecture, technical tradeoffs, and production systems
  • Not a pure AI researcher who does not want to own reliability, customers, and business outcomes
  • Not a leader who avoids difficult performance conversations or allows standards to drift
  • Not a project manager who coordinates work but cannot challenge the technical plan
  • Not a backend only leader who does not want to engage deeply with Product, Deployment, and customer problems
  • Not a manager who measures success by output rather than shipped outcomes, system quality, and team growth

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