We’re building the AI operating system for manufacturing  service. The service business offers manufacturing companies a major strategic opportunity: it can contribute up to 50% of revenue and is also characterised  by significantly higher margins than new business. To tap this potential in  the long term, scalable processes and the effective use of existing product  and process knowledge are crucial.    

Our AI operating system for manufacturing service enables the automation of  service processes such as ordering spare parts, planning on-site visits by  service technicians or answering technical questions. Our AI agents are end-to-end integrated into the customer's IT systems and based on existing expert knowledge. As a result, service employees can focus on the truly  complex cases, and processing times for customers are significantly  reduced.
We are a small team based in our office in Munich and describe ourselves as  progressive, ambitious, magic. Our main goal is to be empowering: Towards our customers, investors, followers and mutually within our team.

About the Founders
We are Benedikt and Etienne, the co-founders of lytra.
Etienne has an academic background in mechanical engineering and innovation  management. He has worked at industry leaders such as BMW or Mercedes-Benz  and successfully founded Spreadly before starting lytra.
Benedikt has an academic background in computer science and media, as well  as AI and was lead software engineer and one of the first employees at  iAtros. In this role, he was instrumental to the company’s successful exit to  Avi Medical.
We both share a deep commitment to speed, excellence and the persistence to  pursue what others consider unreachable.

- Run experiments to refine AI models and refine prompts and LLM  pipelines    
- Analyze customer data and internal process flows to identify optimization  opportunities    
- Build and maintain data pipelines and analytics infrastructure on top of  our databases    
- Perform process mining on both our internal workflows (data processing  pipelines) and customer usage patterns    
- Design and implement dashboards and reports for internal stakeholders    
- Refine AI model outputs and analyze performance metrics

- Python proficiency for data analysis and pipeline building    
- Strong SQL skills: you should be comfortable writing complex queries    
- Data wrangling    
- Familiarity with cloud computing    
- Understanding of Machine Learning concepts including transformer  architectures    
- Ability to work independently and figure things out    
- You’re ambitious, resilient and willing to work in a fast-moving,  hands-on environment    
- You work well in a team while also taking ownership when something needs  to be driven forward    
- Bonus: Familiarity with data warehousing, or workflow analysis    
- Bonus: German language proficiency