Manager Agentic AI

Location: Prague (Hybrid); Czech Republic (Remote); UK (Remote); Ghent (Hybrid), Poland (Remote), Hungary (Remote), Romania (Remote)

Function: Software Engineering

Reports to: Director, Packaging Intelligence

About The Role

Esko is building Agentic AI as a shared platform capability that enables product teams to create reliable AI-powered workflows without independently rebuilding common foundations. The platform team provides reusable capabilities, engineering patterns, and production foundations; product teams retain ownership of their domain applications and customer experiences.

This is a hands-on engineering leadership role combining line management with substantial direct technical contribution. You will lead and develop the Agentic AI team, help shape the platform's technical direction, and take end-to-end ownership of substantial technical areas. Success will be measured not only by what the team ships, but by the quality, adoption, and leverage the platform creates across Esko.

You will work closely with product engineering, architecture, cloud platform, security, compliance, product management, and design to translate shared needs and legitimate domain differences into coherent platform capabilities. You will also contribute to Esko's broader AI direction and participate in customer or industry discussions where your technical perspective is valuable.

What you will do:

• Lead and develop the Agentic AI engineering team through clear goals, regular feedback, coaching, performance management, career development, and thoughtful allocation of ownership.
• Contribute directly to the design, implementation, and operation of substantial areas of Esko's shared Agentic AI platform.
• Help shape the platform's technical direction, architecture, interfaces, and engineering quality bar in collaboration with the wider platform and architecture community.
• Translate recurring product and engineering needs into reusable platform capabilities, while accommodating legitimate domain differences without creating product-specific forks.
• Establish strong engineering practices for reliability, security, observability, evaluation, performance, and compatibility for consuming teams.
• Work directly with product engineering teams to support adoption of the shared platform and help them take domain-specific agentic capabilities from exploration into...

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