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Michael Wagner is a highly accomplished and innovative technology leader with over 18 years of experience in software engineering, product development, and strategic management. Currently based in Berlin, Germany, he has a strong track record of building and scaling high-performing engineering teams, driving digital transformation initiatives, and delivering cutting-edge software solutions for global markets. Michael is recognized for his deep expertise in cloud computing, artificial intelligence, and SaaS platforms, coupled with a passion for fostering a culture of collaboration and continuous improvement. He is adept at bridging the gap between technical intricacies and business objectives, consistently translating complex challenges into actionable strategies and tangible results.
Michael Wagner's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully grew the core engineering department from 20 to 80+ engineers within two years while maintaining high talent quality and fostering a positive, productive work environment, significantly increasing product development velocity.
Led the end-to-end development and launch of a predictive analytics AI platform, which received the 'Tech Innovator of the Year 2022' award and acquired over 10,000 enterprise users in its first year.
Orchestrated the successful migration of critical legacy infrastructure to a multi-cloud environment (AWS & Azure) for a Fortune 500 company, resulting in a 35% reduction in operational costs and improved system resilience and scalability.
Delivered a keynote presentation on 'The Future of Ethical AI in Business' at Tech Summit Europe 2023, sharing insights with over 2,000 industry professionals.
Carnegie Mellon University - Year 1999
Carnegie Mellon University - Year 1994
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Edge Case Research is a company dedicated to making autonomous systems safer and more reliable. They provide software tools and engineering services for perception stress testing, safety analysis, and risk management, particularly for autonomous vehicles (AVs), robotics, and AI-driven systems. Their flagship platform, nVisage, helps developers identify and address 'edge cases' – rare, unpredictable, or challenging scenarios – to ensure robust performance of AI perception systems in real-world conditions.
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