About Rad Ai

• 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.
• 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.
• You've worked in healthtech, healthcare data, or a regulated environment (HIPAA, PHI, SOC 2) and understand what that demands from a software team.
• You're familiar with radiology workflows or adjacent clinical systems (PACS, RIS, EHR, HL7/FHIR, DICOM).
• You've led teams that work closely with ML/AI systems in production and understand what's different about those operational challenges.
• You've managed multiple teams or a small org, including partnering with Staff or Principal engineers to set technical direction.
• Comprehensive Medical, Dental, Vision & Life insurance
• HSA (with employer match), FSA, & DCFSA
• 401(k)
• 11 Paid Company Holidays
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend
• For roles based outside the US, your recruiter can share more details