Meet our executive team
Alexander Gallego
Chief Executive Officer
Tyler Akidau
Chief Technology Officer
Jennifer Lawrence
Chief Revenue Officer
Kyle Corcoran
Chief Financial Officer
Melissa Czapiga
Chief Marketing Officer
Jennifer Taylor
Chief People Officer
David Foley
VP, General Counsel
Jennifer Anderson
VP, Engineering
Raghu Nandan
VP, Product
Hear from our people around the world
Noah Watkins
Meet Noah Watkins and learn why he loves building Redpanda’s Kafka compatibility layer.
Towfiqa Yasmeen
Meet Towfiqa Yasmeen for a tour of what it's like being a product manager in a fast-growing startup.
Be a Redpanda
Join a diverse, global team with members in 17+ countries, and a culture based on trust, transparency, communication, and kindness.
Best-in-class experiences from startups to the enterprise
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Awards & Industry Recognitions
The Agentic List 2026, FirsthandVC, 2026
TrueUp Open Source Top 50, TrueUp, 2026
Builtin 2026 Best Remote Places to Work, Builtin, 2026
BuiltIn Best Midsize Places to Work - San Francisco, Builtin, 2026
LinkedIn Top Startups 2024, LinkedIn, 2024
Next Billion-Dollar Startups, Forbes, 2024
The Infrared 100, Redpoint, 2024
The Crunchbase Unicorn Board, Crunchbase, 2024
PLG Rising 40 Awards, OpenView and PeerSignal, 2023
Enterprise Tech 30, Nasdaq, 2022
The 'Bossie' (Best Open Source Software) Award, InfoWorld, 2022
Digital Innovator Award, Intellyx, 2022
Press highlights
Redpanda acquires Oxla, a distributed SQL Engine, launches new Agentic Data Plane for governing AI Agents for enterprise data
Combining streaming, SQL, and Iceberg for cloud to air-gapped environments enables governed data access to safely accelerate the production of enterprise AI agents
Redpanda Expands Multi-Cloud Offerings with Microsoft Azure Integration
Integration Expands Deployment Options and Enhances Security for Redpanda Cloud Users
Redpanda Adds AI Integrations, expands Cloud Availability, and Unveils Vision for R1: the Multimodal Streaming Data Engine
Expanded connectivity and cloud availability simplifies building data-intensive applications for AI and analytics.