Senior Engineering Manager

Rad AI

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profile Job Location:

San Francisco, CA - USA

profile Monthly Salary: $ 215 - 240
Posted on: 2 days ago
Vacancies: 1 Vacancy

Department:

Engineering

Job Summary

About Rad AI

At Rad AI were on a mission to transform healthcare with artificial intelligence. Founded by a radiologist our AI-driven solutions are revolutionizing radiologysaving time reducing burnout and improving patient care. With one of the largest proprietary radiology report datasets in the world our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.

Rad AI has secured over $140M in funding including a recently oversubscribed Series C ($68M round) led by Transformation Capital bringing our valuation to $528M. Our investors include Khosla Ventures World Innovation Lab Gradient Ventures Cone Health Ventures and othersall backing our mission to empower physicians with cutting-edge AI.

Our latest advancements in generative AI are used by thousands of radiologists daily supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health Jefferson Einstein Health Geisinger Guthrie Healthcare System and Henry Ford Health.

Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie and ranked by Deloitte as the 19th fastest-growing company in North America we are building AI-powered solutions that make a real impact. Most recently Rad AI was named to CNBCs Disruptor 50 list highlighting the innovation and momentum behind our mission.

If youre ready to shape the future of healthcare wed love to have you on our team!

Why We Need You

The products we build are used every day by radiologists making critical decisions with diagnoses that determine what care patients receive next. Thats not a context where good enough ships.

Were looking for a Senior Engineering Manager who can hold that standard while also scaling a team that keeps pace with Rad AIs growth. Someone who has lived through the full lifecycle of production software from the architectural decision that aged well to the one that didnt and who brings that hard-won judgment to every conversation with their engineers.

This isnt a coordination role. Youll 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.

Heres What Youll Be Doing

Youll lead one of our core product engineering teams where youll:

  • Own end-to-end execution on your teams 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.

Who Were Looking For

  • 68 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 youre 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 youve 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.

It Would Be Nice If

  • Youve worked in healthtech healthcare data or a regulated environment (HIPAA PHI SOC 2) and understand what that demands from a software team.

  • Youre familiar with radiology workflows or adjacent clinical systems (PACS RIS EHR HL7/FHIR DICOM).

  • Youve led teams that work closely with ML/AI systems in production and understand whats different about those operational challenges.

  • Youve managed multiple teams or a small org including partnering with Staff or Principal engineers to set technical direction.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient caremaking a meaningful impact on millions of lives. Driven by our mission we prioritize transparency inclusion and close collaboration bringing together exceptional people to revolutionize healthcare. If youre passionate about driving innovation and delivering impactful healthcare solutions wed love to hear from you!

To learn more about what its like to work at Rad AI visit and be sure to follow us on LinkedIn to stay up to date!

For US-Based Full-Time Roles Rad AI offers a variety of benefits including:

  • 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

At Rad AI we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race color religion national origin gender sexual orientation age marital status veteran status or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @ or


Required Experience:

Manager

About Rad AIAt Rad AI were on a mission to transform healthcare with artificial intelligence. Founded by a radiologist our AI-driven solutions are revolutionizing radiologysaving time reducing burnout and improving patient care. With one of the largest proprietary radiology report datasets in the wo...
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AI radiology software solutions to streamline workflows, save time, and improve patient care.

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