Summary
Fabian Riether is a product-focused engineering leader with 10 years of experience building AI-enabled, customer-centric products from PoC to series production across mobility, energy and infrastructure. He combines technical program and product ownership with hands-on experience in robotics, analytics and embedded systems from MIT to enterprise roles at BMW, Yunex Traffic and E.ON. Recently he’s leading the GenAI intelligence layer for the AECO industry at Nemetschek, translating complex domain data into pragmatic product roadmaps and scalable integrations. Known for shaping cross-functional teams and coaching agile delivery, he repeatedly moves novel research ideas into operational products (e.g., cloud-native carsharing platforms and V2X/AI traffic tooling). He blends an engineering pedigree in robotics and cybernetics with an MBA mindset for go-to-market and pricing decisions, making sustainable options commercially viable. Based in Cambridge with a background spanning research labs and large OEM programs, he’s comfortable navigating both academic proofs-of-concept and global product rollouts.
10 years of coding experience
5 years of employment as a software developer
Master of Science (M.S.) Mechanical Engineering (Robotics/Data Analytics), Master of Science (M.S.) Mechanical Engineering (Robotics/Data Analytics) at Massachusetts Institute of Technology
Master of Business Administration (MBA) General Management Studies, Master of Business Administration (MBA) General Management Studies at Collège des Ingénieurs
AI Engineer/Product Designer Participant Batch#3, AI Engineer/Product Designer Participant Batch#3 at Digital Product School
Bachelor of Science (B.S.) Engineering Cybernetics, Bachelor of Science (B.S.) Engineering Cybernetics at University of Stuttgart
Spanish, French, German, English