Create something new : You help our customer to understand how they can leverage our solution.
Structured evaluation : You visit our customers at their plant site and conduct a detailed study of identified industrial assets.
Think holistically : You technically evaluate the business problem statement and recommend a high level technical proposal.
Take responsibility : You validate our PoC / MVP at customer site.
Experience cooperation : You work closely together with your start-up team colleagues from sales, customer solutioning group and solution architects.
Networked communication : You guide the customer in technical discussions on different levels from shop floor to C-Suite.
Education : Technical degree in electrical engineering or electronics
Experience : You have several years of professional experience in technical sales of industrial machinery and after sales support in bringing digital transformation to the industrial environment.
Know-how : You had exposure to industrial machinery (turbomachinery and static machines), you have a sound knowledge of physics and mathematics as well as a good overview of sensing systems, instrumentation and industrial cloud and a good understanding of PLCs.
Enthusiasm : You have a pioneering spirit and a strong willingness to work in an interdisciplinary and globally distributed team with a high level of personal responsibility.
Working Practice : You are an analytical thinker and creative problem solver with a balanced view of technical and business acumen.
Personality : Your proactivity and positive attitude are combined with high adaption skills to a constantly changing environment.
Languages : Business fluency in German and English. More foreign languages are welcome.
Willingness to travel flexibly across EU, UK, Scotland and Ireland (max. 50% travel).
The Digital Twin team uses their modular digital transformation solution to make machines speak. With their AI-powered solution called IAPM (Integrated Asset Performance Management) they create a cyber physical system or simply a digital twin of large industrial machineries which allows the operators to predict downtimes, errors and schedule maintenance remotely.
Need support during your application?
Daniela Schiffer (Human Resources)
49 711 811 53548
Need further information about the job?
Sandeep Mulbagal Gururaj (Functional Department)