Job Description
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 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 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 CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.
If you’re ready to shape the future of healthcare, we’d love to have you on our team!
Why Join Us:
Rad AI’s engineering organization is growing quickly for our award-winning product. You’ll elevate your career in a mission-driven, high-growth environment where generative AI is transforming radiology workflows to save physicians time, reduce burnout, and improve patient care. You’ll have the space to establish yourself as a thought leader in technical problem management, leading cross-functional delivery for products like Rad AI Reporting and Rad AI Impressions that power real-world radiology reporting, streamline workflows, and reduce cognitive load for clinicians.
In a fast-paced startup setting, you’ll tackle complex, high-stakes technical challenges across clinical integrations and AI-enabled platforms, building a reputation for strategic execution and problem-solving at the highest level. This experience will solidify your profile as a premier technical program management expert.
What You’ll Be Doing:
Drive cross-functional execution and delivery of projects within the Platform organization for Core Services, Data, and Infrastructure
Manage project schedules, identify risks and dependencies, and develop strategies
Facilitate communication and collaboration between Core Services, Data, and Infrastructure ensuring alignment on program goals, milestones, and technical requirements
Track and report on project/program progress, risks, and key performance indicators (KPIs) to leadership and stakeholders
Contribute to the strategic planning, objective setting, and technical roadmap
Proactively identify and resolve roadblocks and dependencies, coordinating across organizational boundaries
Who We’re Looking For
Bachelor’s degree in Computer Science, Engineering, or a related technical field
6+ years of experience as a Technical Program Manager in a software engineering environment
Proven track record delivering complex, cross-functional technical programs from inception through launch
Excellent communication, interpersonal, and presentation skills; able to convey technical concepts to both technical and non-technical audiences
Strong analytical skills, pragmatic problem-solving, and sound technical judgment
Experience building KPI frameworks, experimentation plans, and executive‑ready reporting to quantify productivity, quality, and user adoption improvements
Nice to Haves
Experience delivering enterprise-grade products in healthcare or other regulated environments, with working knowledge of HIPAA, PHI handling, and SOC 2 practices
Familiarity with radiology IT ecosystems and standards, including PACS, RIS, EHR integrations and data exchange (HL7/FHIR, DICOM)
Background in speech/dictation and radiology reporting workflows (e.g., structured templates, voice-to-text), including change management with radiologist end users
Track record leading complex integrations and go‑lives with large health systems or radiology groups, including security reviews, data-use agreements/BAAs, and cross‑vendor dependencies
Exposure to clinical AI regulatory considerations (e.g., risk management, documentation) and knowing when/where FDA or other approvals may apply
Experience collaborating with AI or Machine Learning engineering teams
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!
To learn more about what it’s like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai
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
Location Flexibility (Remote-first company!)
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 @radai.com or [email protected].
