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.
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.