Dot Compliance is a cloud based, innovative software company, and our product allows life science customers to manage their quality and compliance processes electronically.
We are looking for Junior Solution Engineer to become an integral part of our Professional Services team at Dot Compliance. At Dot Compliance, we strive to ensure customers satisfaction and an effective onboarding process. As a Junior Solution Engineer, you will work closely with professional services global team to support technical activities during customer onboarding stage. You will be working in collaboration with the customers and closely with our support, product, and customer success teams.
Our ideal candidate should be passionate about learning new technologies, and keen on becoming apart of a growing and dynamic team. You will succeed in this role if you are a problem solver that likes to work with data and people to drive the best solution for both the customer and Dot.
Responsibilities:
- Providing technical support and assisting the Professional Services team’s ongoing tasks
- Implementing customer requirements in DOT Compliance system
- System performance testing, validation, and configuration
- Customer Training (preparation of training materials and delivering on-site or online training
- sessions)
Requirements
- Industrial Engineering student with two years of studies remaining from a recognized University/College
- Available to work 3-4 days a week (Full-time job is optional after graduation)
- Self-learning skills
- Technical orientation
- Good knowledge in Excel
- Good organizational skills and ability to execute plans
- Excellent written and oral communication skills - Hebrew and English
- Team Player
A+ if you meet these requirements
None
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What We Do
Dot Compliance provides a ready-to-deploy, Salesforce-native eQMS with the industry’s first AI specifically built to deliver safe, reliable decision guidance for critical quality issues. This offers faster, more proactive quality and compliance through vertical AI that empowers data-driven decision making in life sciences quality and compliance.
