Rahul Patil
About
Rahul Patil is from Seattle, Washington, United States. Rahul is currently Board Member at Gusto. Rahul also works as CTO at Anthropic, a job Rahul has held since Sep 2025. In Rahul's previous role as a CTO at Stripe, Rahul worked in Seattle, Washington, United States until Sep 2025. Prior to joining Stripe, Rahul was a Board Member at ClearTax and held the position of Board Member. Prior to that, Rahul was a Deputy CTO at Stripe from Jan 2024 to Aug 2024. Rahul started working as Head of Infrastructure and Global Operations at Stripe in Jan 2023. From Mar 2020 to Jan 2023, Rahul was Head of Infrastructure at Stripe. Prior to that, Rahul was a Senior Vice President, Oracle Cloud Infrastructure at Oracle, based in Greater Seattle Area from Jul 2015 to Mar 2020. Rahul started working as Manager, Amazon Kinesis Firehose at Amazon Web Services in Greater Seattle Area in Jan 2014.
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Rahul Patil's current jobs
I lead engineering at Anthropic, spanning inference, products, infrastructure, and security.
Rahul Patil's past jobs
Responsible for two core functions: Engineering and Global Operations. My mission is for Stripe to be both the fastest evolving financial infrastructure you build on and the most dependable company you work with.
Leading the teams that architect, scale, and secure Stripe’s global economic infrastructure, setting the standard for technical excellence, pace, productivity, security, trust and reliability across the engineering discipline.
Responsible for engineering, product management, and business operations of core products in Oracle Cloud Infrastructure (Gen 2) - 30+ products across Compute, Storage, Security, and Monitoring services. We built high-performance, highly available, broadly distributed Infrastructure-as-a-Service technologies from the ground up at high scale in a multi-tenant cloud environment. More info: https://www.oracle.com/cloud/products.html
As a manager on the Amazon Kinesis team, I built massively scaled data processing platforms to enable mobile-app developers, IoT developers, and cloud dev-ops engineers make sense of their streaming big data in near-real-time. More info: https://aws.amazon.com/kinesis/
Microsoft Azure - Compute. https://azure.microsoft.com/en-us/ Parallel Computing Platform - C++ Concurrency Runtime. https://msdn.microsoft.com/en-us/library/dd504870.aspx Windows Presentation Foundation - Imaging, Media, and Bitmap Effects teams. https://docs.microsoft.com/en-us/dotnet/framework/wpf/introduction-to-wpf