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:
Comprising both radiology and AI expertise, Rad AI's stellar team builds products that maximize radiologist productivity, ultimately making healthcare more widely accessible and improving patient outcomes. Join our team and help us make a positive impact on radiology, patient lives, and healthcare around the world.
We’re looking for an Implementation Project Manager with experience leading software implementation projects. Rad AI’s award-winning software has experienced tremendous market growth. We are looking for a teammate with a “can do'' attitude that is adaptable in a fast-paced, high-growth team.
What You’ll Be Doing:
Work independently to plan, monitor, and manage multiple complex customer-facing projects
Lead the end-to-end delivery of Rad AI’s products to radiology practices and health systems, from kick-off to go-live and transition to support
Facilitate Discovery sessions to understand client workflows, requirements, and success criteria
Develop detailed project plans, including timelines, milestones, and resource needs
Coordinate cross-functional teams, including Product, Engineering, and Integration resources, to meet project objectives and deadlines
Serve as the primary client-facing contact throughout the implementation
Ensure a smooth onboarding process by managing project timelines, dependencies, and communications with executive, clinical, and IT stakeholders
Track and manage feature requests, ensuring clear communication, documentation, and prioritization
Monitor project health, proactively identify risks, and escalate blockers, as needed
Issue resolution and mitigation strategies based on data-driven decision making
Conduct weekly status meetings with internal and external stakeholders
Collaborate and coordinate with Rad AI’s product, engineering, and customer success teams for project goal setting, data integration, testing, and product feedback
Provide ongoing updates to leadership throughout the project, via dashboards and reports
Partner with cross-functional teams, including Support and Client Success, to ensure customers are prepared for go-live and long-term success
Suggest process improvements and help with maintaining onboarding templates, documentation, and best practices
Contribute to building a world-class implementation organization that aims to exceed customer expectations with attentive, responsive, and knowledgeable service
The Ideal Candidate Will Have:
At least 2 plus years of relevant project management, implementation management, technical project management, or similar client-facing experience, preferably within a healthcare/healthcare IT environment
Strong project planning and execution skills, including timeline, scope, and risk management
Prior experience or familiarity with radiology workflows and/or radiology-specific healthcare IT
Prior professional consulting or healthcare software implementation experience
Prior experience or familiarity with radiology workflows
Prior experience or familiarity with HL7, FHIR, and EHRs
Excellent people/relationship management and communication skills, with the ability to hold others accountable
Practical working knowledge of SaaS solutions, implementations, and technical concepts
Eagerness to continuously learn, adapt, improve, and help others do so in a fast-paced, ever-changing environment
Ability to build and maintain relationships with all functions and areas of the company to share in challenges and successes, and work collaboratively towards common goals
Proficiency with project management tools
Growth stage scale startup experience
Nice to Haves:
Bachelor’s degree or above
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 no-reply@ashby
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