Remote EU Engineering Manager, Mammography AI
Key Skills
Job Description
DeepHealth is seeking an Engineering Manager, Mammography to lead the engineering team behind Mammo Dx, our FDA- and CE-cleared AI for breast cancer detection in 2D and 3D modalities. You will own delivery from plan to production and partner with product, US teams and QRC to ensure timely, high-quality releases. You will mentor 3–4 engineers, drive end-to-end releases, collaborate across clinical AI, platform and data teams, and help shape roadmaps while maintaining regulatory compliance and
Core Responsibilities
Lead the engineering team responsible for Mammo Dx and own delivery from planning through production, ensuring timely, high-quality releases. Mentor 3–4 engineers, coordinate with product, US teams, QRC, and clinical AI, platform, and data teams, and contribute to roadmaps while maintaining regulatory compliance.
Requirements
The posting does not specify formal education, years of experience, or other explicit qualifications. It indicates a need for engineering leadership, team mentoring, end-to-end release delivery, cross-functional collaboration, roadmap input, and regulatory compliance in mammography AI.
About DeepHealth
Industry: Hospitals and Health Care
Company size: 201-500 employees
DeepHealth is a wholly-owned subsidiary of RadNet, Inc. (NASDAQ: RDNT) and serves as the umbrella brand for all companies within RadNet’s Digital Health segment. DeepHealth provides AI-powered health informatics with the aim of empowering breakthroughs in care through imaging. Building on the strengths of the companies it has integrated and is rebranding (i.e., eRAD Radiology Information and Image Management Systems and Picture Archiving and Communication System, Aidence lung AI, DeepHealth and Kheiron breast AI and Quantib prostate and brain AI), DeepHealth leverages advanced AI for operational efficiency and improved clinical outcomes in lung, breast, prostate, and brain health. At the heart of DeepHealth’s portfolio is a cloud-native operating system – DeepHealth OS – that unifies data across the clinical and operational workflow and personalizes AI-powered workspaces for everyone in the radiology continuum. Thousands of radiologists at hundreds of imaging centers and radiology departments around the world use DeepHealth solutions to enable earlier, more reliable, and more efficient disease detection, including in large-scale cancer screening programs. DeepHealth’s human-centered, intuitive technology aims to push the boundaries of what’s possible in healthcare.