Chief Technology Officer

CDC Global Solutions; Berlin; Vor Ort; EUR 120.000 - 180.000; Vollzeit

Zusammenfassung

A growing healthcare technology firm in Berlin is seeking a Chief Technology Officer (CTO) to lead its technical strategy and execution. The ideal candidate will have substantial experience in building machine learning systems and leading technical teams. This role involves driving innovation, managing technology budgets, and ensuring regulatory compliance in a fast-paced healthcare environment.

Qualifikationen

• 5+ years of experience building and deploying production-grade machine learning systems.
• Proven experience in leadership and scaling technical teams.
• Strong programming skills in Python for ML applications.

Aufgaben

• Define and execute the company’s technology vision.
• Build and retain a high-performing technical organization.
• Ensure compliance with regulatory standards and internal documentation.

Kenntnisse

Leadership

Machine Learning

Python

Cloud-Native Applications

Healthcare Compliance

Tools

PyTorch

TensorFlow

MLOps

Jobbeschreibung

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.