Barry Eom is an AI-focused product leader with 8 years of experience building and scaling developer- and enterprise-facing tooling from early prototypes to thousands of customers. He led Datadog’s LLM Observability from 0 to X000+ customers and shipped major observability products and GTM initiatives before taking on all things AI at Rillet. His background blends product management, software strategy, and hands-on engineering from roles at Spotify, Microsoft, and Vistaprint, plus founding a university data-science group that delivered real-world engagements. Based in New York, he pairs technical fluency in ML/observability with practical go-to-market experience and a track record of turning research-era ideas into revenue-generating product lines.
8 years of coding experience
5 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Cognitive and Brain Sciences, 3.9, Bachelor of Science (BS), Computer Science, Cognitive and Brain Sciences, 3.9 at Tufts University
JumboCode 2019-2020 project for Jeanne Geiger, led by Barry Eom
Contributions:74 PRs, 207 pushes, 73 branches in 8 months
led
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