Engineering Manager, Data

About Rad AI

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. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%.

We’ve raised over $140M - including a recent $60M Series C financing round, valuing the company at $525M and led by Transformation Capital, with participation from existing investors including Khosla Ventures and others.

Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than 1/3 of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. Recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie, and by Deloitte as the 19th fastest-growing company in North America, we are building cutting-edge AI products that make a real impact. If you’re ready to shape the future of healthcare, we’d love to have you on our team!

Why Join Us:

This role will lead our Data Engineering team to support our rapid client growth and projected expansion in the year ahead. In this role, you will play an instrumental part in the construction and maintenance of data collection systems, pipelines, and management tools, as well as managing the data engineering team. As the authority over the construction and continued operation of Rad AI data systems

What You’ll Be Doing:

• Report into our Director of Engineering to manage a team of software engineers at a variety of levels

• Cross-functionally partner with other groups, including platform engineering, machine learning, product management to advance product features.

• Bring clarity to ambiguous situations, ensuring feature development aligns with long-term KPI improvements.

• Invest in individual growth, enabling your team to deliver with quality and confidence.

• Collaborate with senior leadership to chart out a strategic direction based on vital business metrics.

• Prioritize clear, constructive feedback, ensuring everyone on the team is aligned and empowered.

Who We’re Looking For:

• 7+ years of engineering experience with a minimum of 2+ years of engineering management experience.

• Experience leading cross-functional product engineering teams focused on shipping with quality.

• Ability to understand KPI and business metrics, as …