AI Engineering Manager

Join Magical as an Engineering Manager, where you will lead a team of up to 12 engineers in building and operating critical parts of our AI platform. This is a deeply technical, AI-native role that requires a product-minded leader who can raise the quality and velocity of the team while remaining close to the architecture, product, and customer problems we are solving. You will have the opportunity to shape the team, technical foundation, and operating culture during a period of rapid growth.

• Lead a team of up to 12 engineers in building and operating critical parts of Magical’s AI platform, ensuring high execution standards and technical excellence.
• Drive technical decisions, architecture reviews, and incident response, while translating ambiguous product and customer problems into executable technical plans.
• Foster a culture of high autonomy, clear accountability, and continuous growth within the engineering team, while actively participating in hiring, onboarding, coaching, and retaining exceptional engineers.
• Strong product judgment and an instinct for balancing speed, quality, scalability, and customer impact
• Comfort operating close to customers and understanding the real-world consequences of engineering decisions
• A track record of developing engineers, addressing performance issues directly, and raising the talent bar
• Familiarity with enterprise security and healthcare trust requirements, including HIPAA, SOC 2, PHI, permissions, auditability, logging, and data access
• 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
• Low ego, high standards, direct communication, and founder-level urgency
• Experience turning broad objectives into clear ownership, technical plans, and measurable outcomes
• 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
• We need someone technical enough to earn trust, decisive enough to create clarity, and hands-on enough to help the team move faster