Solution Designer Automation
Pubblicato il 14-08-2026 - STILL in Lainate
As a Solution Designer, you will play a crucial role in the growth of our intralogistics automation business across EMEA. You will provide technical expertise and design support to the sales team, developing innovative and cost-effective solutions tailored to meet the specific needs of our customers.
Cosa Offriamo
What we offer:
Professional development programs designed to support growth and strengthen skills and expertise.
Fixed annual salary range: 33.000 - 42.000 euro
Global career opportunities within an international environment.
Flexible working hours to support a healthy work-life balance.
Free access to more than 18,000 learning resources through the LinkedIn Learning platform.
Tasks
Responsabilità e requisiti:
Analyze customer needs thoroughly and create the right intralogistics automation solutions tailored to their specific requirements, considering factors like throughput, space, budget, and integration needs.
Consult with customers and internal teams to design the optimal intralogistics solution, ensuring feasibility, cost-effectiveness,
and alignment with customer objectives.
Collaborate closely with the sales team to understand customer requirements and develop winning intralogistics automation solutions.
Build and maintain strong relationships with technical contacts at customer sites and partner organizations to foster collaboration and knowledge sharing.
Maintain an in-depth understanding of automated intralogistics solutions for pallets and bins, including AS/RS systems, AGVs/AMRs, shuttle solutions, conveyor technologies, picking systems, and their appropriate applications in different industries and warehouse environments.
Analyze customer needs thoroughly and create the right intralogistics automation solutions tailored to their specific requirements, considering factors like throughput, space, budget, and integration needs.
Consult with customers and internal teams to design the optimal intralogistics solution, ensuring feasibility, cos