Harrison Sweeney is a strategic AI infrastructure leader with 13 years of experience building and optimizing cloud and GPU-backed systems for enterprise customers. Currently Head of AI Customer Engineering at Google, he leads teams delivering Gemini-powered solutions to strategic ISVs while previously architecting large-scale GPU deployments and managing an $XXXM annual-spend account. He blends platform architecture, management consulting, and financial ops expertise to optimize storage, networking, performance, and cluster management for internet-scale workloads. Harrison has driven dramatic cost and performance improvements—such as a ~60% cost reduction and 40% query speed-up on a major Redshift migration—and grew a $100M book of business by 90% YoY. Based in Seattle, he pairs engineering depth with commercial acumen in hybrid cloud migrations and cloud deal optimization. Collected training in mechatronics, robotics, automation and finance gives him an uncommon mix of systems thinking and business-first execution.
13 years of coding experience
7 years of employment as a software developer
Bachelor of Engineering (BE) Bachelor of Commerce (BComm) Mechatronics Robotics and Automation Engineering Investment and Corporate Finance, Bachelor of Engineering (BE) Bachelor of Commerce (BComm) Mechatronics Robotics and Automation Engineering Investment and Corporate Finance at The University of Western Australia
Bachelor of Engineering (BE) Bachelor of Commerce (BComm) Investment Finance, Bachelor of Engineering (BE) Bachelor of Commerce (BComm) Investment Finance at University of Vermont
Management Abroad Course, Management Abroad Course at WHU – Otto Beisheim School of Management
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