Senior Engineering Manager, Rad AI

• 6–8+ years of experience managing software engineers with a proven track record leading teams that ship and operate production software at scale
• A strong engineering foundation where you started as a hands-on engineer and are still comfortable going deep in technical discussions even if you’re no longer the primary coder
• Experience leading teams building production web or cloud applications in modern stacks (e.g., Python, TypeScript/JavaScript, React, distributed systems on a major cloud provider)
• Excellent execution and stakeholder management: you set clear priorities, navigate tradeoffs, and keep teams aligned when requirements evolve
• Strong communication across technical and non-technical audiences with a track record of influencing across functions without formal authority
• A pragmatic, outcomes-oriented mindset where you’ve balanced ideal architecture with real-world constraints and have bias toward incremental, value-driven delivery
• Genuine enjoyment of building and scaling healthy engineering teams: hiring, onboarding, performance management, and career development

Desirable

• The products we build are used every day by radiologists making critical decisions with diagnoses that determine what care patients receive next. That’s not a context where “good enough” ships
• We’re looking for a Senior Engineering Manager who can hold that standard while also scaling a team that keeps pace with Rad AI’s growth
• Someone who has lived through the full lifecycle of production software from the architectural decision that aged well to the one that didn’t and who brings that hard-won judgment to every conversation with their engineers
• This isn’t a coordination role. You’ll shape technical direction, develop the engineers around you, and drive outcomes on one of our core products. The team you build here will define how clinicians experience AI for years to come
• You’ll lead one of our core product engineering teams where you’ll:
• Own end-to-end execution on your team’s roadmap from planning, prioritization, delivery, rollout, and iteration across one or more core products
• Raise the technical bar by guiding architecture and design decisions, ensuring your team builds observable, maintainable systems that meet healthcare-grade reliability standards
• Partner cross-functionally with Product, Implementations, Design, Clinical, Customer Success, and GTM counterparts to translate customer problems into clear, actionable engineering work
• Drive continuous improvement across planning, estimation, code review, incident response, on-call, and documentation while evolving team processes and pushing the limits of AI to unlock new levels of efficiency and quality
• Use data and metrics to drive decisions, defining and tracking the right leading indicators for reliability, performance, and delivery health
• Hire exceptional engineers, develop the talent already on your team, and foster a culture of psychological safety, ownership, and continuous learning