Our Team

The engineers and product leaders building the future of real-time data analytics.

Leadership Team

Experienced operators from the world's leading data infrastructure companies.

Jason Corkill, CEO of Rapidata

Jason Corkill

Chief Executive Officer & Co-Founder

Jason brings over a decade of experience in distributed systems and real-time data infrastructure. Prior to founding Rapidata, he led platform engineering at scale, designing streaming architectures that processed trillions of events annually. He holds a B.S. in Computer Science from Carnegie Mellon University and is based in New York City.

Marcus Chen, Senior Data Engineer at Rapidata

Marcus Chen

Senior Data Engineer & Co-Founder

Marcus is one of the foremost experts in Apache Kafka and Apache Flink, having built and operated mission-critical streaming platforms for financial services organizations. He led the design of Rapidata's core stream processing engine and owns the technical architecture of the data pipeline orchestration layer. Marcus holds an M.S. in Computer Science from MIT.

Sofia Reynolds, Head of Product at Rapidata

Sofia Reynolds

Head of Product

Sofia joined Rapidata from a senior product management role at a leading business intelligence company, where she owned the enterprise self-serve analytics product used by over 2,000 organizations worldwide. She brings a deep customer-centric perspective to Rapidata's platform roadmap, focusing on making complex data infrastructure accessible to every member of a data team. Sofia holds an M.B.A. from Columbia Business School.

Life at Rapidata

We are a small, senior team with a shared obsession: making real-time data infrastructure reliable, accessible, and fast.

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Engineering-Led

Every major product decision is driven by technical rigor. Our engineers are deeply involved in product roadmap and customer conversations — because understanding the problem is half the solution.

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Remote-Friendly

Our team is distributed across New York, San Francisco, and London. We work asynchronously by default and invest in excellent documentation to keep everyone aligned regardless of time zone.

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Continuous Learning

We allocate 20% of every engineer's time to learning, conference attendance, and open-source contribution. Our team regularly publishes research on distributed systems and data engineering.

We are hiring

We are building a world-class data infrastructure company and are looking for exceptional engineers, data scientists, and product thinkers to join us. If you are passionate about real-time systems at scale, we would love to hear from you.

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