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Matt Manske is a highly experienced Product Management leader with a significant background in artificial intelligence, machine learning, and cloud computing. Currently a Director of Product Management at Google, he focuses on AI/ML products within Google Cloud, driving strategy and execution for services that empower developers and enterprises. Prior to Google, Matt held influential product roles at Microsoft, where he contributed to developer platforms and cloud services. He is recognized for his ability to bridge complex technical concepts with market needs, delivering impactful products that achieve widespread adoption. Matt is passionate about building innovative solutions that leverage cutting-edge technology to solve real-world problems and enhance user experiences.
Matt Manske's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Plays a key role in defining and executing the product strategy for core AI and Machine Learning services on Google Cloud, impacting a vast ecosystem of developers and enterprise customers.
Contributed significantly to the strategy, development, and adoption of key developer-focused platforms and tools during his tenure at Microsoft.
Has a proven track record of leading cross-functional teams to successfully launch and iterate on complex, large-scale software products in the cloud and AI domains.
Demonstrated ability in translating advanced AI research and capabilities into commercially viable products with clear value propositions for enterprise clients.
The Johns Hopkins University - Year 2005
University of Wisconsin-Madison - Year 2006
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Divergent Technologies is an American technology company that has developed the Divergent Adaptive Production System (DAPS), a complete software-hardware solution designed to replace traditional vehicle manufacturing. DAPS is a data-driven approach to design, engineer, additively manufacture, and assemble complex structures like vehicle chassis, enabling rapid innovation, dematerialization, and significant reductions in environmental impact. They aim to make automotive manufacturing more efficient, sustainable, and economically viable, particularly for low to mid-volume production runs.
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