Runpod, Inc.
An Engineering Manager, Datacenter Network Engineering at Runpod leads the team responsible for designing, deploying, and operating the company’s global datacenter and backbone network that supports AI workloads. The role sets technical direction for network architecture for high-performance GPU networking, global WAN connectivity, and multi-tenant isolation. It is a hands-on leadership position focused on team growth, operational excellence, and scalable architecture across regions and vendors.
Headquarters
San Francisco, California, United States
Company Size
11-50 employees
Founded
2022
Runpod is a GPU cloud platform that enables developers, researchers, and AI companies to deploy and scale GPU workloads — from serverless inference to instant multi-node clusters — on demand. It offers products like Pods, Serverless Endpoints, Public Endpoints, and Instant Clusters to build, train, and deploy models with low friction. Runpod emphasizes simplicity and cost-efficiency with fast provisioning and usage-based pricing billed by the millisecond so teams pay only for what they use. Developer-focused tooling and workflows make it well suited for startups, research labs, and teams putting AI into production.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Runpod, Inc. .
Jul 16, 2024