Chief Technology Officer
Stellenbeschreibung:

    Overview

    CDC Global Solutions are proud to continue our partnership with a growing Radiology company currently experiencing scale-up. As CTO, you will lead the company’s technical strategy and execution to establish us as the leader in AI for MRI.

    Your mission is to build and scale a world-class technical team, develop a robust and scalable platform, and ensure technology is a key driver of product and business success.

    You will report directly to the CEO and be a core member of the executive team. This role combines strategic thinking with hands-on leadership, requiring deep technical expertise, a strong product mindset, and the ability to thrive in a regulated, fast-paced healthcare environment.

    Your Responsibilities

    • Define and execute the company’s end-to-end technology vision in alignment with business objectives.
    • Collaborate closely with product, regulatory, and commercial teams to deliver reliable, compliant, and innovative solutions.
    • Represent the company’s technology to external stakeholders — including investors, partners, and customers.
    • Shape and promote a high-performance engineering culture grounded in autonomy, accountability, and excellence.
    • Be a visible technology leader internally and externally — attracting top-tier talent and building our tech brand.

    Technology Strategy

    • Develop and maintain a forward-looking technology roadmap across infrastructure, ML, and software.
    • Lead architectural decisions to ensure platform scalability, system robustness, and rapid iteration cycles.
    • Establish and enforce best practices across software development, ML workflows, security, and quality assurance.
    • Manage technology budgets and prioritize resource allocation for high-impact initiatives.

    Team Development

    • Build, scale, and retain a top-performing technical organization across software, ML, and infrastructure.
    • Provide mentorship, career development, and clear growth paths for senior engineers and tech leads.
    • Lead and continuously improve the hiring process to ensure we attract and assess the best technical talent.
    • Promote a collaborative, feedback-driven culture that empowers teams while staying aligned to company goals.

    Operational Excellence

    • Ensure smooth cross-functional execution across ML, software, QA, and clinical deployment.
    • Oversee external integrations and technical partnerships (e.g., workflow systems, clinical platforms).
    • Ensure compliance with relevant quality and regulatory standards (e.g., MDR, FDA, ISO 13485).
    • Build and maintain robust internal documentation and processes to support scale and audit readiness.

    Your Background

    • 5+ years of hands-on experience building and deploying production-grade machine learning systems, ideally with imaging data.
    • 5+ years of leadership experience in managing and scaling high-performing technical teams.
    • Proven experience in building cloud-native applications and infrastructure, including CI/CD, monitoring, and security practices.
    • Strong programming skills in Python and familiarity with PyTorch or TensorFlow.
    • Experience delivering regulated products from prototype to production, ideally in healthcare or medtech.
    • Experience operating in a startup or scale-up environment, with evidence of sound technical decision-making under pressure.

    Desired Skills

    • Familiarity with DICOM, PACS, HL7, and other healthcare interoperability standards.
    • Understanding of radiology workflows and clinical decision-making contexts.
    • Experience with MLOps tooling and pipelines, including model versioning, monitoring, and reproducibility.
    • Knowledge of regulatory frameworks such as MDR and FDA, and experience with quality management systems (e.g., ISO 13485).
    • Strong hiring instincts and a track record of building high-caliber tech teams.
    • Experience communicating technical roadmaps and risks to non-technical stakeholders, including investors and clinical partners.
    • Experience with large language models (LLMs) is a strong plus.

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Stelleninformationen
  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

    Development & IT
  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    05 Okt 2025
  • Standort:

    Berlin
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