Company profile

Runpod Tech Stack

GPU cloud and serverless inference infrastructure for AI developers

Software Development San Francisco, CA 51–200 employees Founded 2022 Privately Held

Runpod operates a GPU cloud where developers run Pods and serverless inference endpoints, built on Go, Rust, Python, Kubernetes and LXC. It is adopting InfiniBand and integrating new data centers, pointing to a push into high-bandwidth multi-GPU training. A parallel dbt, Dagster and Snowflake build-out targets GPU-hour metrics and self-serve analytics, while a hiring mix split evenly between engineering and sales shows a company scaling enterprise revenue alongside infrastructure.

Tech Stack 60 technologies

Core StackPython Go JavaScript Kubernetes Docker dbt Dagster Snowflake Rust TypeScript Datadog Grafana Zoom Zendesk HubSpot Prometheus React Express.js FastAPI Burp Suite OWASP ZAP SAST DAST AWS WAF LXC Google Meet Linear Notion Pydantic PlanetScale+29 more

AdoptingInfiniBand

What Runpod Is BuildingChallenges and projects from their job posts

◆Challenges

Scaling AI infrastructure platform and usage
Host churn and regional capacity gaps
GPU server issues escalated by customers
Shortening sales cycles
Inconsistent metrics across consumption-based marketplace analytics
Growing net revenue retention

▲Active Projects

InfiniBand and RoCE implementation
Integrating new data centers
Metric definitions for GPU-hour utilization
Self-serve analytics layer
Proof-of-concepts for onboarding high-spending customers
Analytics roadmap for product, finance and GTM

Hiring Activity

Decelerating25 roles · 4 in 30d

Department

Engineering

Sales

Data

Product

Design

Operations

Ops

Support

Seniority

Senior

Mid

Director

Manager

Notable leadership hires: Sales Director

Companies like Runpod

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About Runpod

Runpod is a San Francisco-based, privately held company founded in 2022 with 51–200 employees. It provides cloud infrastructure for teams building, training and deploying AI applications, including on-demand GPU access, serverless inference endpoints, persistent storage and templates. Its platform operates as a consumption-based marketplace that relies on GPU hosts across regions. The company hires in the United States and Indonesia and supports customers through sales, support and technical account functions.

HeadquartersSan Francisco, CA

Company Size51–200 employees

Founded2022

Hiring MarketsUnited States, Indonesia

Frequently Asked Questions

What tech stack does Runpod use?

Runpod uses Python, Go, Rust, TypeScript, Kubernetes, Docker and LXC for infrastructure, Datadog, Grafana and Prometheus for monitoring, and dbt, Dagster and Snowflake for data, with HubSpot and Zendesk for customer operations.

Is Runpod hiring sales roles?

Yes. Sales is one of Runpod's largest hiring areas alongside engineering, including a Sales Director role, with a focus on shortening sales cycles and expanding high-spending accounts.

What is Runpod working on?

Runpod is implementing InfiniBand and RoCE networking, integrating new data centers, building GPU-hour utilization metrics and a self-serve analytics layer, and running proof-of-concepts for high-spending customers.

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How this profile is built

Runpod's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.