With our technology, we aim to solve every headache associated with the intricate web of sustainability requirements in each market. Our all-encompassing platform streamlines the sustainability journey - from tracking and reporting to compliance and optimisation. Our software solution already serves as a game-changer to global companies like Beiersdorf and Kao.
Join us on our growth journey as a Solution Architect (m/f/d), where you will collaborate closely with our Customer Success and Product teams, leading software integration projects, and help shape the future of our innovative solutions while making a significant impact on the industry.
Fostering, growing, and celebrating a diverse team is a top priority. From our inception, we've been an international team, bringing together diverse backgrounds and perspectives to unite behind our common mission. Packaging waste affects everyone, and we believe a diverse team is essential in developing the best solutions for a sustainable future. Join us and contribute to our mission of tackling packaging waste with innovative, inclusive approaches.
- Lead technical implementation projects for our enterprise customers, ensuring successful integration of our SaaS solution
- Configure and customise our platform according to specific client requirements and business needs
- Develop and maintain data mappings between client systems and our platform, ensuring seamless data flow
- Provide technical consulting to customers throughout the implementation process and support pre-sales activities
- Drive API integration projects, working closely with customers' IT teams and third-party integration partners
- Create and maintain technical documentation for customer implementations
- Collaborate with our Product and Engineering teams to align implementation processes with product updates
- Troubleshoot and resolve technical challenges during implementation
- Work closely with Customer Success Managers to ensure smooth customer onboarding
- Contribute to the continuous improvement of our implementation processes and best practices
