Solutions Engineer

Basic Requirements Preferred Education

• Bachelor’s degree in industrial engineering, Mechanical Engineering, Mechatronic Engineering, Electrical Engineering, Controls Engineering, Manufacturing Engineering, Computer Science, or related technical discipline.

• English – Read, write, and speak proficiently (required).
• German – Speak (advantageous).

• Valid driver’s license with no restrictions.

• Willing and able to travel domestically and internationally as required.

• Minimum of three (3) to seven (7) years of experience in Solution Engineering, Sales Engineering, Industrial Engineering, Manufacturing Engineering, Controls Engineering, Automation Engineering, or related technical customer-facing roles
• Experience working within manufacturing operations, assembly systems, automated production environments, industrial software, or Industry 4.0 initiatives
• Strong understanding of Industrial Engineering principles including Takt Time, Cycle Time, Throughput Analysis, Capacity Analysis, OEE, Line Balancing, Work-In-Process (WIP), and Theory of Constraints
• Experience identifying manufacturing bottlenecks and developing data-driven recommendations to improve productivity, quality, and operational performance
• Experience supporting Manufacturing Execution Systems (MES), Industrial IoT (IIoT), Connected Worker platforms, Traceability Systems, CMMS solutions, machine monitoring platforms, or automation systems
• Working knowledge of PLC control systems, industrial networking, HMI platforms, robotics, machine vision systems, smart tools, torque systems, and automated assembly equipment
• Ability to read and interpret mechanical drawings, electrical schematics, process flow diagrams, manufacturing documentation, and technical specifications
• Experience supporting pilot projects, proof-of-concept activities, equipment commissioning, validation, or implementation projects
• Understanding of manufacturing quality systems, compliance requirements, traceability methodologies, error-proofing systems, and audit requirements
• Experience working directly with Process Engineers, Manufacturing Engineers, Quality Engineers, Maintenance Teams, Production Supervisors, and Plant Leadership
• Strong technical presentation, communication, and customer engagement skills.

• Support business growth by providing technical expertise throughout the sales cycle and assisting customers in evaluating manufacturing execution, traceability, maintenance, and operational improvement solutions
• Identify opportunities to improve throughput, productivity, quality, workforce effectiveness, equipment utilization, and manufacturing consistency through automation and digital transformation technologies
• Translate technical capabilities into measurable business outcomes including cycle time reduction, bottleneck elimination, throughput improvement, improved compliance, and increased operational visibility
• Serve as the technical liaison between customers, Account Executives, engineering teams, product teams, and implementation resources
• Support successful deployment and adoption of Jendamark automation systems and ODIN Digital Solutions.

• Collaborate with Account Executives throughout the sales process to identify customer requirements and qualify opportunities.
• Conduct customer discovery sessions to understand manufacturing processes, assembly sequences, operational challenges, business objectives, and technical requirements.
• Analyze production workflows, cycle times, takt times, bottlenecks, sequence of operations, and manufacturing constraints to identify opportunities for improvement
• Deliver technical demonstrations, presentations, proof-of-concept activities, and pilot deployments
• Translate customer requirements into practical solution architectures and implementation strategies
• Develop business cases and ROI models that quantify improvements in productivity, throughput, quality, traceability, maintenance effectiveness, and operational performance
• Assist customers in identifying hidden losses related to waiting time, micro-stops, manual processes, inconsistent execution, and lack of operational visibility
• Support…