Beam
AI-Native Cloud Platform
Software Engineer, Product
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. We’re based in NYC and SF, so we’d like if you were in either of those cities, but we’re open to remote candidates if there’s a strong fit.
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
- Creating developer-friendly SDK classes that wrap our lower-level gRPC client
- 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
- Strong communication skills
- Enthusiasm for developer tools, cloud native technologies, and open source software
- Golang experience is nice-to-have, but not required
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 offsites
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.
