Senior Engineering Manager

Join Magical as a Senior 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, product-minded role that requires a strong focus on execution, technical decisions, and cross-functional collaboration. 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.
• Set a high bar for execution, develop engineers, drive technical decisions, and work closely with Product, Design, Deployment, and GTM to translate product and customer problems into executable technical plans.
• Create an environment where engineers have high autonomy, clear accountability, and room to grow, while also being responsible for hiring, onboarding, coaching, and retaining exceptional engineers.
• 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 turning broad objectives into clear ownership, technical plans, and measurable outcomes
• Low ego, high standards, direct communication, and founder-level urgency
• Meaningful experience with LLMs, agents, evals, orchestration, model behavior, or other production AI systems
• 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
• Strong product judgment and an instinct for balancing speed, quality, scalability, and customer impact
• The ability to earn the respect of strong engineers without needing to make every technical decision yourself
• Comfort operating close to customers and understanding the real-world consequences of engineering decisions