3 jobs found in Erlangen

Your tasks As a Staff AI Backend Engineer, you are responsible for the technical backbone of our decision intelligence platform and the architecture that makes it scalable. You define the direction for building scalable backend services that make our forecasting and optimization models, agent-based workflows, and semantic data layer productively usable. You work AI-first: Claude Code or comparable CLIs, MCPs, and your own skills are your standard toolkit – and you determine how the rest of the team uses them. You think not only in terms of endpoints and databases, but also in terms of customer value, product impact, and adoption – and you consistently strengthen the system rather than just solving the individual task. With a strong product mindset, you set the technical direction: You define how we measure feature adoption, instrument usage patterns, and manage the roadmap together with Product and FDE – responsible for outcomes, not output. Scalable backend services...

These are your tasks: As part of the company's data governance and quality regulations, you will develop and maintain standards, policies, and rules for managing materials within the company (e.g., data governance framework, component life cycle model) and coordinate these with all relevant departments. Furthermore, you will support the IT department in implementing these standards, analyze key performance indicators, identify weaknesses, and implement improvement measures. They act as a coordinating interface to all departments, participate in voting processes, and support company-wide projects in the SAP environment as representatives of the central Product Lifecycle Management team. They define, plan and manage internal optimization projects for the department as needed (e.g., interface implementation, data quality initiatives) and analyze suitable tools for a defined purpose. They create documentation on processes, methods and tools,...

These are your tasks: In this position, you will implement an integrated data management system to support corporate real estate management, in order to achieve professionalization and standardization of infrastructure measures. You will design and implement efficient data and document management solutions that meet the requirements of strategic real estate development. As part of the implementation of data management, you contribute to legal certainty (e.g. compliance with deadlines and requirements) and create a data basis for the analysis and evaluation of real estate potential. As project manager, you will work closely with internal departments such as IT, legal, finance, and the companies within the subgroup to ensure seamless project implementation. They regularly prepare reports for the management of strategic organizational development, up to and including the executive management, to present the project progress and the results achieved in the...