Remote, Europe preferred
Full-time
Role description
Tomorrow Things is redefining industrial support through AI-powered remote service. Our platform enables machine operators worldwide to get real-time help via intelligent agents, expert escalation, and multilingual communication.
We work with leading OEMs and operators to reduce downtime, improve OEE, and transform support into a data-driven advantage. At the heart of this model is a human-machine partnership — and we’re looking for seasoned technical minds to make it work.
Role description
As a Technical Service Engineer, you will provide expert-level remote troubleshooting and parameterization support to injection molding machine operators. You'll work in tandem with AI agents, stepping in for advanced problem-solving and decision-making, ensuring that production continues with minimal disruption.
Support machine operators via remote tools to resolve technical issues
Diagnose root causes of alarms, process deviations, or cycle time anomalies
Guide operators through parameter adjustments and setup optimization
Document support sessions and contribute to knowledge base entries
Collaborate with AI product teams to train and refine support agents
Ensure fast and effective communication through the multilingual support interface
Interface with OEM service teams when escalation is required
What you bring
Strong expertise in injection molding processes and machinery (e.g. Engel, Arburg, KraussMaffei, Sumitomo Demag)
3+ years of hands-on experience in technical service, process engineering, or operator support
Solid understanding of hydraulic, electric, and hybrid molding machines
Ability to read and analyze parameter sets, cycle logs, and error codes
Familiarity with machine interfaces and remote access tools (HMIs, PLC, OPC-UA, VNC, etc.)
Clear and structured communication style with operators and internal teams
What we offer
Help shape a cutting-edge remote support platform used by global manufacturers
Contribute your injection molding expertise to reduce downtime at scale
Work remotely while solving real industrial challenges
Be part of a growing, mission-driven team focused on sustainable industry
Competitive salary, flexibility, and a meaningful role in our AI-human hybrid model
Verringerung der Ausfallzeiten
Maschinenstillstandszeiten werden durch Fernwartung massiv reduziert.