
Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox
Product: Open-source secure sandbox runtime for executing AI-generated code and agent workflows
Use cases: Research agents, coding agents, AI data analysis/visualization, reinforcement learning, long-running sandboxes
Founders: Tomas Valenta and Vasek Mlejnsky
Employees: 22
Latest round (reported): Series A led by Insight Partners ($21M)
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Secure execution environment and infrastructure for AI agents and AI-generated code.
AI infrastructure / Cloud runtime
$21M
Series A reported as $21M led by Insight Partners; round participants included Decibel, Sunflower Capital, KAYA, and angel investors
“Series A led by Insight Partners with participation from Decibel, Sunflower Capital, KAYA, and angels (reported $21M)”
💻 Languages : Next.js, TypeScript, Python
✅ Skills : Building full-stack apps, being up to date with the latest AI frameworks and tools
👉 Who we are
E2B is a fast growing Series A startup with 7-figure revenue . We've raised over $32M in total since our funding in 2023 and are supported by great investors like Insight Partners . Our customers are companies like Perplexity, Hugging Face, Manus, or Groq. We're building the next hyperscaler for AI agents.
👉 About the role
Your job will be to inspire developers what they can build E2B. Part of that job is creating examples based on what we often see our users are doing and another part of that is leading by example by building experimental projects using E2B.
You’ll be tasked with developing both smaller examples in our Cookbook and full-scale projects like Fragments and AI Analyst.
This role requires a high amount of creativity and ability to ship projects on your own from 0 to 1.
👉 What we’re looking for