Engineering Manager
DeepHealth
Engineering Manager
DeepHealth
AI-driven medical imaging and informatics platform
Job Summary
The Engineering Manager, Mammography leads the engineering team behind Mammo Dx, DeepHealth's FDA- and CE-cleared breast cancer detection AI for 2D mammography and 3D tomosynthesis, within the Clinical AI organization that brings together engineering, AI, clinical, and regulatory teams across the US and Europe. The role also acts as Technical Delivery Manager for the team, owning delivery of every release from plan to production. Working with the Mammo product lead, QRC, and US teams, the Engineering Manager, Mammography ensures the right software reaches the right sites on time, with the quality a medical device requires. The role reports to the Software Engineering Manager, Clinical AI Devices.
Essential Duties and Responsibilities
Team Leadership & Development
Lead and mentor a team of 3 to 4 engineers; support their technical and professional growth.
Set clear goals, run regular 1:1s and performance reviews, and give constructive feedback.
Recruit, onboard and retain great engineers.
Foster a culture of ownership, quality and continuous improvement.
Release & Delivery Management (TDM)
Own the Mammo release plan jointly with the product lead: scope, sizing, milestones and monthly release tracking.
Drive each release end to end: planning, development, verification, regulatory sign-off, deployment and post-release follow-up.
Align the Mammo team's delivery practices, processes and tools with the Clinical AI standards.
Make sure test setups are ready so product can run functional validation on time.
Contribute to the 3- and 6-month roadmap rituals and keep delivery commitments predictable.
Quality & Regulatory Compliance
Work with QRC on regulatory impact assessments for every change.
Cross-Functional & US Collaboration
Communicate status, risks and trade-offs clearly to both technical and non-technical audiences.
Coordinate with platform, AI and data teams on dependencies.
Technical Leadership
Take part in design and architecture reviews, challenge estimates and unblock the team.
Keep a strong grasp of the system without writing production code day to day.
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.
AI-driven medical imaging and informatics platform
DeepHealth provides AI-powered medical imaging and health informatics solutions that help radiologists analyze X-rays, CTs, and MRIs by automating parts of image interpretation, highlighting areas of concern, and delivering quantitative insights. It works by integrating AI into radiology workflows via cloud-based software, enabling automated image analysis, scoring, and reporting within enterprise imaging systems. The company differentiates itself through its integration with RadNet and strategic acquisitions of iCAD and CIMAR UK, expanding breast imaging capabilities, interoperability, and the scale of its deployments. Its goal is to accelerate the adoption of AI in real-world healthcare, improve diagnostic accuracy and consistency, and streamline imaging workflows across hospitals and health systems.
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