Internship - Technology Excellence & Innovation Management
Original title: Praktikum - Technology Excellence & Innovation Management (m/
This job is at Carl Zeiss AG. You apply to them, not to GoAusbildung.
Start Date
On request
Sector
Research & Innovation
Salary
Competitive salary
Listing data as of November 3, 2026
About this Apprenticeship
Internship in ZEISS Corporate Research & Technology in Oberkochen. You combine studies and practice and actively work on exciting projects.
What You'll Learn
- Support communication and visibility of initiatives of the top "expert career path for R&D and innovation"
- Maintain and further develop knowledge management systems
- Promote transparency, documentation and knowledge sharing across teams and business units
- Support and help organize workshops, community formats and strategic events
- Track project plans, milestones, timelines and actions
- Create presentations, reports and communication materials
- Actively help shape structured ways of working, governance processes and continuous improvements
Requirements
- Current studies in business administration, innovation management, communication studies, business informatics, project management or a comparable degree program
- Passion for innovation, new technologies and turning new ideas into concrete value
- Interest in project management, communication and knowledge management
- Strong organizational and analytical skills and a structured way of working
- Active contribution to transparency, knowledge sharing and innovation, plus strong communication and enjoyment of cross-department collaboration
- Very good German and English skills
- Solid MS Office skills (PowerPoint and Excel as well as Miro, Teams or SharePoint)
- Experience with content management systems desirable (e.g. TYPO3, Contentful, Sitecore, Adobe AEM, WordPress)
- Basic understanding of technical contexts (templates, interfaces, data protection)
- Experience with AI applications/tools and the ability to use AI tools sensibly for research, writing text (e.g. user stories), data analysis or process automation
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