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:
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 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. This role will report up through the Vice President of Implementation.
What You’ll Be Doing:
Lead the deployment of Rad AI’s products to radiology practices and health systems
Ensure a smooth onboarding process by managing project timelines, dependencies, and communications with executive, clinical, and IT stakeholders
Works independently to plan, monitor, and manage complex customer facing projects
Define project plans tailored to each customer’s unique needs, resources, organizational structure, and desired business outcomes
Issue resolution and mitigation strategies based on data-driven decision making
Understand customer workflows and gather requirements through interviews and workshops with key stakeholders
Build partnerships with customer counterparts
Ensure milestones and deliverables are met on time and of high quality
Perform risk management and implement measures to correct
Create and distribute pertinent information and status reports to management and customer
Lead customer and internal calls
Collaborate and coordinate with Rad AI’s product, engineering, and customer success teams for project goal setting, data integration, testing, and product feedback
Build and maintain 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
Who We’re Looking For:
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 management and organizational skills to prioritize competing priorities, deliver outcomes on a timeline, and build out documentation
Excellent people/relationship management, coaching, 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
Nice to Haves:
Bachelor’s degree or above
Prior experience or familiarity with radiology workflows and/or radiology specific healthcare IT
Growth stage scale startup experience
Prior professional consulting or healthcare software implementation experience
Prior experience or familiarity with radiology workflows
Prior experience or familiarity with HL7, FHIR, and EHRs
Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.
If you're passionate about driving innovation and delivering impactful reporting 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.
$85K – $120K • Offers Equity
The pay range at Rad AI is dependent upon a variety of factors such as years of experience, training, geographic location, and demands of the current market. That means that in some circumstances, the actual salary could fall outside of the above. The estimated range listed is subject to change and may be modified in the future.
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