Job Overview
Location
United States
Job Type
Full-time
Category
Software Engineering
Date Posted
June 4, 2026
Full Job Description
đź“‹ Description
- • Lead product training and support go-live for Rad AI Reporting by engaging directly with customer admins and radiologists to ensure smooth adoption and stabilization of AI-powered radiology software.
- • Develop deep functional expertise in one Rad AI product, including key features, workflows, and system integrations, and serve as the internal subject matter expert for implementation teams.
- • Understand and articulate core product workflows and best practices, translating them into actionable guidance for clinical and operational stakeholders.
- • Stay current on new product features, tools, and integrations, and proactively share updates with Implementation team members to maintain alignment and consistency.
- • Assist in creating and updating training materials, documentation, and resources to support customer onboarding and internal knowledge sharing.
- • Facilitate communication between Implementation, Product, Engineering, and Technical Support teams to ensure timely resolution of product-related issues and feedback loops.
- • Track and manage vendor-related tasks and escalations, documenting interactions and escalating critical issues to appropriate internal teams.
- • Respond to product-related inquiries from customers and internal stakeholders with accuracy and timeliness, ensuring consistent messaging and resolution.
- • Act as a radiology workflow consultant by translating customer-specific clinical workflows into optimized product configurations and adoption strategies, going beyond basic training delivery.
- • Conduct structured pre- and post-go-live workflow assessments with radiologists, department leads, and IT stakeholders to identify friction points, configuration gaps, and adoption risks.
- • Support pre-sales engagements by providing product and workflow expertise during demos and scoping discussions, helping Sales translate prospect needs into implementation requirements.
- • Demonstrate strong verbal and written communication skills when interacting with both technical and non-technical audiences, including radiologists, IT personnel, and hospital administrators.
- • Build and maintain collaborative relationships across all company functions to align on challenges, share successes, and drive collective progress toward implementation goals.
- • Drive project success through diligent execution of product training, adherence to internal processes, and proactive communication within the Implementation team.
🎯 Requirements
- • At least 4+ years of relevant customer-facing experience with emphasis on product expertise and/or industry knowledge
- • Strong organizational skills to prioritize competing priorities, deliver outcomes on timelines, and build documentation
- • Excellent people/relationship management, coaching, and communication skills with ability to facilitate engaging customer training
- • Practical working knowledge of SaaS solutions, implementations, and technical concepts
- • Prior hands-on experience in a radiology or imaging environment, including direct familiarity with radiologist reporting workflows, PACS, and/or dictation systems
- • Ability to engage clinical stakeholders including radiologists and department leads with credibility, adapting communication style to both technical and non-technical audiences
🏖️ Benefits
- • Comprehensive Medical, Dental, Vision & Life insurance
- • HSA (with employer match), FSA, & DCFSA
- • 401(k)
- • 11 Paid Company Holidays
- • Flexible PTO policy
- • Annual company-wide offsite
- • Periodic team offsites
- • Annual equipment stipend
Skills & Technologies
Onsite
Degree Required
About Rad AI
Rad AI provides AI-powered radiology workflow software for hospitals and imaging centers. Its platform automates repetitive tasks in radiology reporting, such as follow-up recommendations and incidental findings detection, reducing radiologist burnout and improving patient care. The company’s products integrate with existing PACS and RIS systems to streamline radiology operations. Rad AI serves healthcare systems across the United States.
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