R
Posted 7 hours ago
Senior Engineering Manager
Rad AI
Requirements
6-8+ years engineering management experience, Experience shipping production software at scale, Proficiency in Python, TypeScript, or React, Strong stakeholder management skills
Skills
PythonTypeScriptReactDistributed Systems
About the role
About the Company
Rad AI is on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. We have secured over $140M in funding and our AI supports nearly 50% of all medical imaging in the U.S.
Responsibilities
- Own end-to-end execution on your team’s roadmap from planning, prioritization, delivery, rollout, and iteration
- Raise the technical bar by guiding architecture and design decisions for observable, maintainable systems
- Partner cross-functionally with Product, Implementations, Design, Clinical, and GTM counterparts
- Drive continuous improvement across planning, estimation, code review, incident response, and on-call
- Use data and metrics to drive decisions regarding reliability, performance, and delivery health
- Hire exceptional engineers and foster a culture of psychological safety, ownership, and continuous learning
Requirements
- 6–8+ years of experience managing software engineers
- Proven track record leading teams that ship and operate production software at scale
- Strong engineering foundation with experience in technical discussions
- Experience leading teams building production web or cloud applications (Python, TypeScript/JavaScript, React, distributed systems)
- Excellent execution and stakeholder management skills
- Strong communication skills across technical and non-technical audiences
- Pragmatic, outcomes-oriented mindset
- Experience in hiring, onboarding, and performance management
Preferred Qualifications
- Experience in healthtech, healthcare data, or regulated environments (HIPAA, PHI, SOC 2)
- Familiarity with radiology workflows or clinical systems (PACS, RIS, EHR, HL7/FHIR, DICOM)
- Experience leading teams working closely with ML/AI systems in production
- Experience managing multiple teams or a small organization
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Rad AI · San Francisco
