Huawei Heisenberg Research Center (Munich) is responsible for advanced technology research, architectural development, design and strategic engineering of our products. Riemann Lab is responsible for building Huaweis spatial information technology capabilities. With core technologies such as
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily
Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world’s fastest-growing enterprise SaaS companies, we are changemakers pushing the boundaries of what’s possible. We invest heavily
YOUR ROLE Flowers is one of Germany’s fastest-growing B2B SaaS tech startups. As an AI Workflow Automation Platform orchestrating Deterministic Processes, Agents, and Humans for the German Mittelstand, we are redefining how companies manage their operational
Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI
Location: Munich Duration: 2-4 months Start: Flexible, earliest start October 1, 2026 Preferred: Master’s students WHAT IS THE ROLE ABOUT? We are looking for a motivated intern (m/f/d) to join our Product Management team at KINEXON
Company Description Job Description You have successfully completed your studies and gained initial experience through an internship or a working student position? You are looking for entry opportunities at one of the world’s leading mobility companies?
Short Facts Location: Munich, Germany Employment Type: Full-Time, indefinite term Salary Range: € 58.000 – 70.000 per year gross depending on the experience level, and additional 5k target bonus Working Mode: Office first setup Language Requirement:
eigenblue – Were building the future of engineering. A future where engineers build intelligent systems that solve complex problems, and work alongside those systems to bring their solutions into the real world. We solve complex, multidisciplinary
QUALIFICATIONSDegree in (business) maths, statistics, machine learning, data science, physics, computer science or engineering requiredUp to 2 years of professional hands-on experience in applying advanced data science methods and implementing technical data solutions (e.g. develop machine