
Copyright © 2023 Agile Europe - All Rights Reserved!
Do you enjoy doing sustainable B2B business?
Location: Prague
Type of employment: Full-time
Job Description:
As part of our team you will be responsible for customer relations, including finding new opportunities for cooperation. Your role includes active communication with customers and partners, defining and promoting our business development strategy. You will be responsible for meeting business objectives, attending meetings, negotiations, marketing events and company presentations to customers. Your work also includes processing quotations and contracts for customers and communicating with other members of the sales team.
Required:
- an interest in renewable energy, particularly its economic application in the operations of large international industrial companies
- motivation for innovative technological and business models- university degree in engineering (electrical engineering preferably) or economics
- experience in the corporate or 'large' energy sector is an advantage but nota requirement
- good communication and teamwork skills
- English is an advantage
- group B driving licence
We offer:
- flexible schedule, attractive working environment
- interesting work in an international and dynamic team and in a promising field- if interested, work on projects outside Europe
- opportunity for professional and personal development
- long-term cooperation with an individual approach
- laptop, company phone, company car
- employee benefits (mobile tariff with unlimited calls, 25 days of vacation, language and professional courses, meal allowance, main office near Palmovka metro station)
Consistent with personal development
We consider reliability to be the foundation of trust and, above all, reliability significantly reduces the stress that is also present in any project.
Because we believe in our products, services and solutions, we are ready to take responsibility for their quality, which is corner stone of our efforts.
For optimal operation and utilization of power resources supplied by us, we employ machine learning methods in applications of predictive maintenance, management of solar hybrid and battery systems or estimation of future power generation.