Chief Technology Officer

Role overview

Onsite

Market Rate

The CTO will oversee the end-to-end development of complex AI-based products — from concept to commercial deployment — ensuring delivery is aligned with strategic goals, timelines, and budgets. The role involves managing a diverse and skilled technical organization spread across multiple European hubs and covering a wide range of domains, including:

• AI-based image processing
• Machine learning & deep learning
• Visual language models (VLMs)
• Optics & night vision technologies
• Embedded software & hardware
• Maritime electronics & sensor integration
• Cloud, IoT, and edge computing
• UI/UX for real-time applications

The ideal candidate will combine strong leadership with deep technical insight and a proven ability to manage innovation in regulated or high-reliability environments.

Key responsibilities

• Lead and scale a cross-functional engineering organization.
• Ensure on-time and on-budget delivery of the product roadmap.
• Define technical strategy and guide architecture decisions.
• Evaluate and prioritize innovation concepts based on feasibility and business value.
• Oversee technical due diligence and risk assessment in new developments.
• Collaborate closely with executive leadership, product, and operations teams.
• Drive the preparation and successful execution of public R&D and grant funding applications.
• Cultivate a strong, collaborative engineering culture with a focus on quality and impact.

Your profile and qualifications

• Significant experience (7+ years) in senior technical leadership roles, preferably in fast-growing deep-tech or AI-focused companies.
• Strong background in AI/ML, computer vision, or robotics, ideally including deployment on edge or embedded systems.
• Experience leading multi-disciplinary teams across hardware, software, and data science.
• Familiarity with end-to-end product development lifecycles in complex, high-tech environments.
• Understanding of cloud/IoT architectures and real-time processing requirements.
• Experience with public innovation funding or grants (e.g., Horizon Europe, national programs) is an advantage.
• Background or interest in maritime or mobility sectors is a plus, but not required.
• Excellent communication and strategic thinking skills.
• Fluent in English.
• Beneficial but not mandatory : Experience in creating Innovation decision processes Software License Models, AI based Business Models.