Forward Deployment Engineer Reporting Pro
RadNet
Forward Deployment Engineer Reporting Pro
RadNet
Outpatient radiology imaging centers with AI
The Forward Deployment Engineer, Reporting Pro helps customers adopt DeepHealth’s Reporting Pro correctly. The role combines radiology reporting depth, clinical workflow knowledge and customer communication to design how Reporting Pro is configured for each customer, build report templates and structured reporting content with radiologists, coach implementation teams, resolve complex technical issues, and turn recurring field needs into standard product workflows, including AI-assisted report drafting as it is released.
This is an individual contributor role with no direct reports, reporting to the Service Engineering Lead, Enterprise Intelligence, and working closely with the DxS lead Forward Deployment Engineer. It operates within DeepHealth’s Forward Deployment Engineering (FDE) function, whose purpose is to help customers adopt DeepHealth products correctly. The role sits at the intersection of the Technical Delivery Manager (TDM), Product, Service and Solution Delivery teams to ensure smooth customer adoption. It transitions best practices to the Service and Solution Delivery teams and plans upcoming product changes with them to ensure commercial readiness.
Essential Duties and Responsibilities
PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time.
Minimum Qualifications, Education and Experience
Quality Standards
Travel
This position requires domestic / international travel up to 25%, primarily for customer discovery, go-lives and escalations.
Working Environment
Remote (United States)
Salary Range:
$125,000.00-$145,000.00
RadNet runs a network of 350 outpatient radiology centers across seven states, providing advanced imaging services to patients. Its core offerings include diagnostic imaging (such as X-ray, CT, MRI, and other modalities) performed at clinics and interpreted by radiologists. The company combines imaging technology with artificial intelligence to improve diagnostic accuracy and speed, supporting healthcare providers, patients, regulators, and payers. Revenue comes from patient fees and partnerships with healthcare institutions. RadNet differentiates itself through scale (a large, nationwide outpatient imaging network), ongoing investment in technology and AI, and a focus on standardizing high-quality imaging across its centers. The company’s goal is to expand access to precise, efficient radiology services and to maintain leadership in imaging quality and research by continuously adopting best practices and pioneering radiology-related innovations.
Explore more opportunities at RadNet