About RunPod
Some of the most important companies of this decade will be built on Runpod.
We aim to be the developer’s launchpad for full-stack AI apps—the compute backbone that enables successful companies to run AI/ML workloads simply, globally, and at scale.
Why RunPod
Our sales team has a strong technical background. Our eng team has an exceptional eye for product. Our datacenter operations team has a strong sales background. Whether you’re doing engineering, sales, operations, design, or product, you should be comfortable wearing more than one hat at a time.
We have over 300,000 developers that rely on us to run their workloads. Many of them use Runpod for their production environments. That’s a huge responsibility that we don’t take lightly. We are constantly talking to our customers to understand what we can do to level up our platform.
If you think there’s a better way of doing X, even if it doesn’t directly fall under your function, you should voice that to the team. The most important products we’ve built have stemmed from conversations between non-overlapping teams, like ML + Sales, Customer Support + Product, and Datacenter Operations + Accounting.
At this stage, we need to move quickly. The faster we can ship products that delight our customers, the more successful they will be with our platform. The AI industry is constantly evolving, and we must be able to evolve just as quickly. There are some things we believe won’t change. Developers will always want faster, more accessible and cost-effective compute. Although our products may change, our mission will stay the same.
We currently have 75+ full-time people on the team, and we anticipate scaling to several hundred over the coming years. We are looking for people with a bias towards leadership, who can hire and manage talented folks as their function within Runpod scales.
Top Features
Autoscale in Seconds
Zero cold-starts with Active Workers
<200ms cold-start with FlashBoot
Persistent Network Storage
