Summary
Michael Aguenza is a Principal Product Manager specializing in AI and data products with nine years of experience turning complex analytics and engineering challenges into automated, revenue-driving solutions. He has led AI/ML product initiatives across enterprise and scale-up environments—most recently at Veeam and previously at Trumid, HPE, Spotify, and Outcome Health—bridging data engineering, BI, and product design. Comfortable in the stack from SQL and Python to Spark and Tableau, he pairs hands-on technical execution with stakeholder management across C-suite, sales, and engineering. Michael is known for building continuous ETL and measurement pipelines that convert marketing and sales signals into actionable decisioning and ROI. He brings an operator’s curiosity—co-founding a consumer startup and earning an MBA—so he combines product rigor with practical business development instincts and intermediate fluency in Tagalog.
9 years of coding experience
7 years of employment as a software developer
Master of Business Administration, Master of Business Administration at American University
Bachelor of Science Business Administration, Bachelor of Science Business Administration at Christopher Newport University
English, Tagalog