Rad AI - Implementation Manager

Salary: $85K - $120K Location Type: Remote Employment Type: Full-Time

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

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 customers.
• 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

• 2+ 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.