Barry Eom
Product at Rillet
New York, New York, United States
Summary
🤩
Rockstar🎓
Top SchoolBarry 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
7 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Cognitive and Brain Sciences, Bachelor of Science (BS), Computer Science, Cognitive and Brain Sciences at Tufts University
English, Japanese, Korean
Github Skills (32)
rust-lang10
monitoring10
hugo10
observability10
observability-data10
etl10
data-transformation10
agent10
datadog10
stream-processing10
high-performance10
cloud-native10
telemetry10
documentation10
ai-agent9
Programming languages (6)
Github contributions (5)
barieom/barieom.github.io
Dec 2017 - Feb 2025
Portfolio page
Contributions:3 PRs, 169 pushes, 3 branches in 7 years 3 months
JumboCode/Jeanne-Geiger
Oct 2019 - Jun 2020
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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