Manager, Agentic AI

• Lead and develop the Agentic AI engineering team through goals, feedback, coaching, performance management, career development, and ownership allocation
• Contribute directly to the design, implementation, and operation of substantial areas of Esko’s shared Agentic AI platform
• Shape the platform’s technical direction, architecture, interfaces, and engineering quality standards
• Translate recurring product and engineering needs into reusable platform capabilities
• Establish engineering practices for reliability, security, observability, evaluation, performance, and compatibility
• Support product engineering teams in adopting the shared platform and taking domain-specific agentic capabilities into production
• Foster experimentation, learning, assumption-challenging, and evidence-based technical decisions while maintaining production accountability
• Define and use measures of platform adoption, quality, operational performance, delivery effectiveness, and team development
• Collaborate with product engineering, architecture, cloud platform, security, compliance, product management, and design
• Contribute to Esko’s broader AI direction and participate in customer or industry discussions

• Strong production software engineering experience in Python, TypeScript, Java, or a similar language
• Experience designing, building, and operating reliable systems
• Demonstrated experience leading and developing engineers, including line management, coaching, performance feedback, and creating meaningful technical ownership
• Experience building a platform, API, or shared service used by multiple teams
• Experience designing or building production AI systems using large language models, tool use, or agentic workflows
• Practical understanding of AI system limitations and risks
• Track record of taking uncertain or early-stage technical ideas through evaluation, implementation, and adoption as dependable production capabilities
• Ability to balance platform coherence with legitimate product and domain differences
• Experience collaborating across product engineering, architecture, infrastructure, security, and business functions in a global organization
• Excellent written and verbal communication
• Undergraduate, Master’s degree or PhD in Computer Science, Machine Learning, Data Science, Artificial Intelligence, or related disciplines
• Preferred: Experience in packaging graphics, prepress, CAD, or the wider graphic arts industry
• Preferred: Experience building or operating multi-tenant SaaS or cloud platform capabilities
• Preferred: Experience with AI evaluation, observability, security controls, governance, or other production foundations for agentic systems

• Flexibility to shape and grow the MLOps function
• Opportunity to collaborate internationally across multiple product teams
• Career growth, rewards, and recognition
• Training and development plans
• Diversity and inclusion-focused workplace culture
• Continuous improvement culture