Engineering Manager

Hi! We are Visage Technologies, a Swedish-Croatian company that’s been building amazing things with computer vision and machine learning since 2002. Our technology is the engine behind some of the world’s most recognizable brands – powering over 400 global clients, including Qualcomm, Lufthansa, Coca-Cola, Canon, Deutsche Telekom, BMW, and McDonald’s.

We're now looking for an Engineering Manager for our AI Labs division. AI Labs division is Visage Technologies’ innovation hub, focused on exploring and developing advanced AI technologies that bridge research and real-world applications. From computer vision, generative and agentic AI to autonomy and perception AI, we help clients turn complex challenges into practical solutions.

As our Engineering Manager, you will care for and mentor our talented engineering team, guide project growth, and inspire practical AI innovation across client initiatives.

This role is based in our Zagreb office, where we enjoy collaborating in person through occasional office visits.

People management

Projects and delivery quality

Planning

• At least 5 years of experience leading engineering teams, with direct responsibility for people management.
• A solid technical background in software engineering, computer vision, ML or a related field, including at least 3 years of hands-on engineering experience.
• A working understanding of the ML/CV development lifecycle (data, training, evaluation, deployment).
• Experience reviewing technical deliverables (reports, demos, prototypes) before they reach clients or management.
• Experience in a project-based or service/consulting environment, managing several parallel projects and shifting priorities.
• Strong communication skills, including the ability to turn technical detail into clear status reports for management and clients.
• Experience with career development, performance management and difficult conversations.
• A structured, organised way of working, combined with the flexibility a growing division requires.
• Fluency in English, written and spoken.
• Experience in automotive, robotics, medtech or other regulated or safety-critical domains (e.g. familiarity with FuSa / SOTIF).
• Experience with edge AI or embedded deployment.
• Interest in multimodal AI and where perception systems are heading.
• Experience building or scaling a team in a growing organisation.

Find out more about all the benefits and perks on our Career Page.

How to apply

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Please note that we will not consider remote-only applicants or incomplete submissions.