Startups · AI

Senior Engineering Manager

Rad AI · San Francisco - Onsite · On-site

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About Rad AI

Modern radiology AI for reporting, impressions and follow-up. Reduce cognitive burden, improve report quality and help radiologists work faster. Backed by Khosla.

About the role

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.

What they're looking for

  • 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
More about this role

At Rad AI, we’re 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. 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 others—all 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...

Read the full posting on Rad AI's site ↗

Engineering

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