
Charles Chretien
Co-Founder at Prequel, previously Software Engineer at Google
charles-chretien
New York, New York, United States
Joined September 2025
Network
1.6K connectionsSummary
Charles Chretien is an entrepreneur and co-founder of Prequel, a Y Combinator-backed startup focused on facilitating secure data sharing for B2B companies by syncing data directly into customer data warehouses. His work addresses the growing need for efficient and secure data integration in the modern business landscape. ycombinator+2
With a strong background in software engineering, Charles previously contributed to Google's Jigsaw division, where he worked on cybersecurity-related software, and on Proactive Search. This engineering foundation is complemented by his experience as a Product Manager at RapidSOS, showcasing a blend of technical expertise and product development acumen. belfercenter
Academically, Charles holds a Bachelor of Science in Computer Science from Brown University, where he specialized in Global Security and Cybersecurity. He furthered his education with dual Master's degrees from Harvard, obtaining an MS in Engineering Sciences from the John A. Paulson School of Engineering and Applied Sciences and an MBA from Harvard Business School, highlighting a comprehensive understanding of both technology and business strategy. brown
Charles demonstrates a keen interest in data architecture and engineering through his authored articles. His writings cover practical insights into building data products and making strategic technical decisions, such as opting for a Postgres-based queue over RabbitMQ for system efficiency, showcasing his hands-on approach to solving complex technical challenges. prequel+2
Work
Education
Writing
SQL Maxis: Why We Ditched RabbitMQ And Replaced It With A Postgres Queue
April 1, 2023A technical article detailing the decision and process of replacing RabbitMQ with a custom queue built on a Postgres database for managing data within Prequel's systems.
Building Data Products: The Three Questions You Should Ask When Spec’ing Out A Data Product
November 1, 2022This article discusses three key questions product managers should ask when building data products to determine if in-product analytics or data warehouse syncs are more suitable for users.
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