Engineering Manager, Mammography

About the role

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. Minimum Qualifications, Education and Experience Bachelor's or master's degree in computer science, engineering or a related field, or equivalent experience (required). 6+ years in software engineering, with a solid technical background (backend, cloud or data-heavy systems) (required). 2+ years managing engineering teams (required). Proven track record delivering software releases end to end: planning, QA, deployment and support (required). Experience running delivery in a structured environment (regulated industry, enterprise B2B or on-premise deployments) (required). Good understanding of modern engineering practices: CI/CD, cloud environments (AWS or GCP), containerized deployments (required). The right to work in France or the Netherlands (required). Strong communication and leadership skills, with a focus on team collaboration and ownership (required). Ability to mentor and organize a team of senior engineers (required). Strong problem-solving and analytical skills (required). Structured and reliable: people can count on plans and follow-up (required). Comfortable working remotely, asynchronously, and across European and US time zones (required). Fluent in English (required). Preferred: Experience in medical device software (strong plus). Preferred: Knowledge of DICOM and radiology workflows (PACS, RIS, modalities, HL7). Preferred: Experience with radiology AI, ideally mammography. Preferred: Experience working with US-based teams and stakeholders. Quality Standards Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, vi

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