Engineering Manager, Magical

• You’ve managed 20+ technical ICs before (pods, squads, or distributed groups)
• Obsessively detail-oriented — nothing escapes your field of view
• Hands-on operator who works in the weeds, not above them
• Obsessive commitment to quality in logic, workflows, and customer experience
• Customer-obsessed, especially in high-pressure or healthcare environments
• Exceptional project manager who can juggle many active deployments simultaneously
• Clear, direct communicator with customers and internal teams
• Able to recruit, hire, and build a high-performing AI Agent Engineering team
• Experience delivering technical solutions to customers, ideally in environments requiring precision and reliability
• Background in engineering, QA, or testing — strong technical underpinning is mandatory

Desirable

• Reports to: Head of Deployment / Product
• The shift to agentic work is accelerating, and we’re leading it. Our AI Deployment Engineering team is the engine behind that shift
• As we scale to a team of 30 people, we’re hiring a hands-on, detail-obsessed leader who can build both the people and the systems required to deliver world-class deployments in high-stakes customer environments
• You’ll lead and scale Magical’s AI Deployment Engineering team — the technical, customer-facing group responsible for implementing our AI Agents into customer environments
• You'll manage and dive into the details every day
• Reviewing workflow logic and agentic designs
• Troubleshooting issues directly
• Project-managing customer launches
• Recruiting, onboarding, and developing new AI Agent Engineers
• Creating systems, templates, and processes that make the team faster and more predictable
• You will own both delivery and quality, ensuring customers go live quickly, reliably, and with an experience that feels unmistakably Magical
• Grow the AI Agent Engineering team from 8 → ~25 by EOY 2026
• Recruit, hire, and onboard top-tier talent with engineering, QA, or test backgrounds
• Build a culture of ownership, precision, and customer obsession
• Establish performance management, leveling, and clear expectations
• Oversee the design, build, testing, and launch of agentic workflows across healthcare and payer/provider customers
• Stay hands-on with builds early on to set the quality bar and expectations
• Ensure deployments meet reliability, latency, and quality standards
• Build rigorous systems for project management, QA, review cycles, and documentation
• Create reusable components, templates, and tooling that dramatically speed up future builds
• Reduce deployment timelines from weeks to days through process improvement and standardization
• Act as the senior escalation point for complex customer issues
• Interface directly with customer engineering teams, PMs, and operational leaders
• Set expectations clearly, communicate proactively, and manage timelines confidently
• Feed real-world deployment learnings into Product and Engineering to improve the platform
• Implement detailed workflow and logic reviews with consistency
• Drive best practices in agentic design, testing, and performance tuning
• Ensure every deployment is robust, maintainable, and production-grade
• The opportunity to build and scale one of the world’s first Forward Deployed AI Engineering teams focused on Healthcare