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ai-omatic in Hamburg is seeking a Technical Project Engineer to implement our Digital Maintenance Assistant for diverse customer machines. You will translate complex technical requirements into concrete next steps and ensure a smooth project execution with strong customer experience.
In this role you collaborate with Account Management and Product Management, own project goals and milestones, and provide on-site support during a weekly visit. Fluent German and English are required.
ai-omatic is a Hamburg-based deeptech startup
With our cloud-based predictive maintenance software, we help industrial companies identify unusual machine behaviour before it leads to costly problems. Our Digital Maintenance Assistant analyses and visualises machine sensor data, enabling companies to prevent unplanned downtime, reduce maintenance efforts and increase plant availability. Thanks to our scalable algorithm, the solution can be used across a wide range of machines, applications and industries.
Are you passionate about machines, technical challenges, and innovative solutions? Do you enjoy taking ownership and using your expertise to create an excellent customer experience?
As a Technical Project Engineer, you combine technical understanding with project management and customer communication. Your focus will be on successfully implementing our AI software for customers, clarifying technical questions, and managing the operational execution of projects. Together with Account Management, you will ensure that a successful implementation turns into long-term customer success.
Start: As soon as possible
Location: Hamburg (hybrid)
You must live within commuting distance of Hamburg, as one weekly on-site day is part of the role.
aiomatic has developed a digital maintenance assistant that transfers an engineer's expert knowledge to an AI system with limitless processing capacity and detects unusual behavior before it becomes a problem. With its software-based maintenance assistant, ai-omatic is revolutionizing machine maintenance, offering the first working and scalable solution for machine monitoring that delivers reliable and interpretable results.