Radai
Senior Engineering Manager
San Francisco - Onsite. Posted 6 months ago
The role
You will lead a core product engineering team to own end-to-end execution on roadmaps. You will guide architecture and design decisions, partner cross-functionally, and hire and develop engineers.
What you will do
- Own end-to-end execution on the team's roadmap
- Guide architecture and design decisions
- Partner cross-functionally with Product, Implementations, Design, Clinical, Customer Success, and GTM
- Drive continuous improvement across planning, estimation, code review, incident response, on-call, and documentation
- Use data and metrics to drive decisions
- Hire exceptional engineers and develop existing talent
- Foster a culture of psychological safety, ownership, and continuous learning
Required qualifications
- 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 as a hands-on engineer
- Experience leading teams building production web or cloud applications in modern stacks (Python, TypeScript/JavaScript, React, distributed systems on a major cloud provider)
- Excellent execution and stakeholder management
- Strong communication across technical and non-technical audiences
- Pragmatic, outcomes-oriented mindset
Nice to have
- Worked in healthtech, healthcare data, or a regulated environment (HIPAA, PHI, SOC 2)
- Familiar with radiology workflows or adjacent clinical systems (PACS, RIS, EHR, HL7/FHIR, DICOM)
- Led teams that work closely with ML/AI systems in production
- Managed multiple teams or a small org, including partnering with Staff or Principal engineers
Benefits
- 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
About the company
Rad AI is a healthcare AI company founded by a radiologist. They build AI-driven solutions to transform radiology and improve patient care.