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. 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 $60M Series C round led by Transformation Capital, bringing our valuation to $525M. 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 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.

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 well as the ability to identify and scope product feature work to maximize the business impact.
• Previous experience in performance management, including the ability to mentor and guide the professional and technical development of your team members.
• A bias to take action, and an ability to use best available data to justify your actions and opinions and make decisions that move the business forward.
• Expertise in growing teams, and previous experience recruiting engineers of multiple disciplines while ensuring a successful, supportive onboarding experience.
• Ability to plan ahead for potential obstacles, communicate areas of risk, and provide clear directives. Anticipate potential obstacles and plan accordingly.
• Have a philosophy of valuing each team member and understanding individual strengths and areas for growth.
• Ability to be hands on if needed.
• Demonstrated familiarity with data engineering best practices and tools (e.g., Airflow, dbt, Kafka, or Spark) to help oversee data pipelines and data transformation work.
• Experience working with cloud-based data warehouses or data lakes (e.g., AWS Redshift, Snowflake, BigQuery) and an understanding of data modeling and ETL/ELT processes.
• Comfortable with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) to support reliable data infrastructure.

Nice to Haves:

• Experience in a healthcare startup or radiology-focused organization.
• Familiarity with healthcare data standards (e.g., HL7, FHIR) and relevant privacy/security regulations (HIPAA, HITRUST).

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making 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 you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

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
• Location Flexibility (Remote-first company!)
• Flexible PTO policy
• Annual company-wide offsite
• Periodic team offsites
• Annual equipment stipend

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 @radai.com or no-reply@ashbyhq.com.