Engineering Manager, Mammography

Posted 2 Days Ago
Be an Early Applicant
3 Locations
Remote or Hybrid
60K-90K Annually
Senior level
Healthtech
The Role
Leads a team of 3–4 engineers developing and delivering FDA- and CE-cleared mammography AI software. Owns release planning, development, verification, regulatory sign-off, deployment, and post-release follow-up. Provides technical leadership, mentors engineers, coordinates cross-functional dependencies, manages delivery risks, and ensures compliance with medical-device quality standards. The role is remote in France or the Netherlands, with collaboration across European and US teams and up to 10% domestic and international travel.
Summary Generated by Built In

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, visitors, and vendors.

  • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance.· · Follows all local, regional and country laws concerning employment.

  • Follows all DeepHealth policies and procedures.

  • Follows data privacy, compliance, safety and confidentiality standards at all times.

  • Practices universal safety precautions.

  • Promotes good public relations on the phone and in person.

  • Adapts and is willing to learn new tasks, methods, and systems.

  • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines.

  • Completes job responsibilities in a quality and timely manner.

Travel

  • This position requires domestic and international travel up to 10%, mainly to the US and within Europe.

Working Environment

  • Remote, based in France or the Netherlands. Regular collaboration with US teams requires afternoon overlap with US time zones.

Physical Demands

  • The employee must be able to perform the essential duties and responsibilities of the position, with or without reasonable accommodation.

Salary:

Paris: 60,000-80,000 EURO

Netherlands: 70,000-90,000 EURO

Skills Required

  • Bachelor’s or master’s degree in computer science, engineering, or a related field, or equivalent experience
  • 6+ years of software engineering experience with a solid backend, cloud, or data-heavy systems background
  • 2+ years managing engineering teams
  • Experience delivering software releases end to end, including planning, QA, deployment, and support
  • Experience running delivery in a structured environment such as a regulated industry, enterprise B2B, or on-premise deployments
  • Understanding of modern engineering practices, CI/CD, cloud environments, and containerized deployments
  • Right to work in France or the Netherlands
  • Strong communication and leadership skills focused on collaboration and ownership
  • Ability to mentor and organize a team of senior engineers
  • Strong problem-solving and analytical skills
  • Structured and reliable approach to planning and follow-up
  • Comfort working remotely, asynchronously, and across European and US time zones
  • Fluency in English
  • Experience with medical device software
  • Knowledge of DICOM and radiology workflows, including PACS, RIS, modalities, and HL7
  • Experience with radiology AI, ideally mammography
  • Experience working with US-based teams and stakeholders
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The Company
HQ: Pak Shek Kok
306 Employees

What We Do

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.

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