Head of Robotic AI Applications - Human

Your Mission & Challenges

• Build and lead the team: Recruit, lead, and grow a team of Robotic AI Application Engineers responsible for deploying NEURA's products in customer projects.

• Own end-to-end delivery: Take full ownership of customer deployments — from feasibility assessment and project planning through on-site integration and final acceptance.

• Be the senior escalation point: Act as the go-to authority for complex customer projects, ensuring technical, timeline, and quality expectations are met.

• Close the feedback loop: Partner with Product Management and R&D to ensure customer and field insights shape future product development.

• Establish scalable standards: Define processes, tooling, and quality standards for deployment, configuration, and customer handover across projects and sites.

• Steer priorities and resources: Manage project prioritization and resource allocation across multiple concurrent customer engagements.

• Represent us externally: Lead the applications team in customer-facing meetings and strategic discussions, building trust and long-term relationships.

• Develop your people: Mentor team members and foster a culture of ownership, reliability, and customer focus.

What We Can Look Forward To

• Your background: Master's or PhD in Computer Science, Robotics, Electrical Engineering, Artificial Intelligence, or a related technical field — or comparable qualifications and practical experience.

• Field experience: Several years of hands-on experience deploying robotic or AI-based systems in customer or field environments, ideally including project or delivery ownership.

• Leadership experience: Proven track record leading or mentoring a technical team, ideally in a customer-facing or field engineering context.

• Project delivery: Demonstrated success managing complex customer projects from planning through successful go-live.

• Customer proximity: Confidence working directly with customers at senior level, including willingness to travel.

• Communication skills: Excellent stakeholder management, with the ability to balance customer needs against engineering and product realities.

• Languages: Professional proficiency in English; German language skills are a plus.