About the role

Beam is building the fastest cloud runtime for AI. Our serverless runtime launches GPU-backed containers in under one second, powering apps that scale to millions of users. Ambitious startups and Fortune 100 companies use Beam to host custom ML models and run LLM-generated code in secure sandboxes. Beam powers millions of requests a day for hundreds of companies using us in production. We’re a small team, but we ship quickly and work collaboratively.

What you’ll work on

Building new features the span our stack, from the Go/Python backend to frontend, and our SDKs
Making smooth user experiences in our React/Next.js/Typescript dashboard
Expanding our usage-based billing system that handles millions of requests per day
Developing internal tools for managing thousands of customers

Your experience

Full-stack software engineering experience, ideally with Python and Next.js + React + Typescript
Previous experience shipping a product from 0 → 1
Enthusiasm for developer tools, cloud native technologies, and open source software

Who you are

High-agency: you can own projects end-to-end and make decisions with imperfect information
Adaptable, curious, and able to quickly understand unfamiliar concepts or domains
Excited to work 5 days a week in our New York office (or are open to relocating)

Benefits

You’ll have a high degree of ownership in your work, and you will ship products that impact millions of developers worldwide. You’ll have a lot of autonomy: if you’ve got an idea for a feature that solves a customer problem, you can own it end-to-end. We work closely with our customers, so you’ll get immediate customer feedback on your work. We’re a small but fast-moving engineering team, and we’ll help you accomplish the best work of your career.

Competitive salary with meaningful equity
Health, dental, vision, 401(k)
Join a fast-growing pre-series A company at the ground floor
Fitness stipend, learning budget, quarterly team off-sites

About Beam

Cloud computing is broken.

AI has introduced a new generation of workloads, like GPU inference, sandboxes, and agents. These aren't ordinary applications that can be run as Lambdas, or Dockerized apps on VMs: they're massive, stateless containers that need to spin up in <1s, often across multiple clouds and regions.

Today, engineers are hacking together infra that breaks under real-world loads. That's where we come in.

Our mission is to build the world's best compute platform for AI. Our first product is a serverless inference platform, used by companies like Coca Cola, Geospy and hundreds more. We've built our own container runtime, called beta9, which is designed for launching GPU-backed containers in under 1s.

We're a small, highly-technical team, with backgrounds in distributed systems and robotics. We've raised $7M from YC, Tiger, Guy Podjarny (Founder of Snyk), and Jason Warner (former CTO of Github).

We're searching for intensely curious, passionate, and hard-working engineers to join our mission in rebuilding the cloud for the age of AI.

Beam