--- title: 'Support Engineer at E2B' canonical: 'https://feeny.ai/job/support-engineer-e2b-prague-qe81bt4dqf96' type: 'job' last_seen: '2026-11-09' --- # Support Engineer at E2B - **Company:** E2B - **Location:** Prague, Czech Republic - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-13 - **Last confirmed live:** 2026-11-09 - **Apply:** https://jobs.ashbyhq.com/e2b/4779efbf-7f43-4b8d-97df-85c9f3b1db99 ## Job description ## About E2B E2B is a fast-growing Series A startup with over $37M in funding and 8-figure revenue. We are building the Agent Cloud and power the infrastructure behind AI labs and some of the most widely used consumer and enterprise agents, including Manus, Genspark, Lindy, Groq, and Artificial Analysis. Our team includes original authors of Firecracker, the AWS microVM technology powering Lambda, along with alumni of Cognition, JetBrains, Zapier, and Wish. ## ABOUT THE ROLE Our customers are engineering teams building AI agents, and when they write to support the question is technical: a sandbox that did not resume, a template build that fails, a network rule that blocks the wrong traffic, an invoice that does not match usage. You answer with evidence, not a script. You will join a small support team that runs much of its work through its own AI agent harness. Agents read threads, pull logs and traces, and draft replies. You decide what is true, what goes out, and what has to change so the same question does not come back. Based in Europe, you own the queue during European hours and hand off to the US. Your job will be: 1. Owning technical support threads from developers and enterprise customers, from first reply to resolution 2. Debugging issues across our SDKs (Python, JS/TS), CLI, API and the platform underneath, using logs, traces and metrics and reading our source code 3. Reproducing problems against live E2B and turning them into bug reports engineering can act on 4. Handling account operations: limits, beta access, billing and usage questions 5. Fixing the docs when a customer got stuck on something they should have been able to do alone 6. Building the support tooling itself (skills, knowledge and automations for our AI agents) so the team handles more without growing at the same rate 7. Bringing what customers ask for back to product and engineering ## WHO WE'RE LOOKING FOR - You want to learn, and you learn fast. You pick up a new SDK, tool or concept in days, and you enjoy it - You follow what is happening in AI because you are curious, not because someone asked: new models, agent frameworks, coding agents - You are comfortable when things change under you. Our product, processes and tools get rebuilt often, and you help rebuild them - You already use AI tools (Claude Code, Codex, Cursor or similar) in your work and want to push how far they go - You own a problem until it is resolved, and you ask for help early when you are stuck - Clear, warm, accurate written English, and the honesty to say "I don't know yet, here is what I'm checking" ## THE HARD SKILLS We will teach you E2B. These are the basics we expect on day one: - Comfortable on Linux and the command line, and able to read logs to find what failed - Can read and write some Python or TypeScript/JavaScript, enough to reproduce a bug - Basic networking (DNS, HTTP, ports) and a sense of how containers or VMs run - Experience in technical support or another developer-facing role helps ## BONUS POINTS FOR - Experience at a hosting or cloud provider - Go, or familiarity with Firecracker, KVM, Kubernetes or Nomad - Observability tooling: Grafana, Loki, Tempo, Prometheus - Contributions to technical docs or open source - Czech or Slovak (not required, all customer communication is in English) What it’s like to work at E2B We’re a fast-growing startup with in-person (4 days on-site, 1 day WFH) offices in San Francisco and Prague, Czech Republic. We already generate 8-figure revenue and work directly with top-tier AI companies like Manus, Genspark, Lindy, Groq, Artificial Analysis and other exciting teams pushing the frontier of AI. We offer healthcare, vision, and dental insurance, unlimited PTO, 401k, and a variety of perks for in-office employees. ## About E2B ## Company Overview - **One-liner**: E2B provides open-source, secure sandboxed cloud infrastructure for AI agents to execute code, access tools, and run autonomously. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States (also office in Prague, Czechia) - **Founded**: 2023 - **Founders**: Vasek Mlejnsky (Co-Founder & CEO), Tomas Valenta (Co-Founder & CTO) ## Core Business - **Primary Industry**: Cloud infrastructure for AI agents, secure code execution, developer tools - **Target Customers**: B2B – Enterprise (Fortune 100), AI startups, LLM providers, and developers building agentic workflows - **Mission / Purpose**: “Build and run AI agents with confidence.” – providing enterprise-grade, open-source environments for agents. ## Products & Services - **E2B Sandboxes** (Cloud): Isolated microVM environments (powered by Firecracker) that start in under 200 ms, support any LLM, and run for up to 24 hours. Used for code execution, data analysis, deep research, reinforcement learning, and computer use agents. Available via BYOC, on-prem, or self-hosted on AWS, GCP, Azure. - **Code Interpreter SDK** (SaaS/API): JavaScript and Python SDKs to run AI-generated code inside sandboxes (`@e2b/code-interpreter`). - **Secure MCPs** (API): Infrastructure for Model Context Protocols with full isolation. - **Desktop Sandbox** (Feature): Provides virtual desktop environments for LLMs (computer use agents). ## Market Standing - **Valuation / Market Cap**: Not publicly available (private company) - **Key Metric**: Total Funding – $35 M (Series A $21 M, Seed $11.5 M, Pre-seed $2.5 M) - **Notable Investors / Partners**: - **Lead Investors**: Insight Partners (Series A), Decibel Partners (Seed), KAYA (Pre-seed) - **Partners**: Hugging Face, Manus (case studies); works with OpenAI, Anthropic, Meta Llama, Mistral, and custom models. - **Growth Signals**: - Headcount grew 169 % YoY to 20 employees (LinkedIn) - 7 M+ monthly downloads, 1 B+ sandboxes started - 94 % of Fortune 100 companies use E2B (self-reported) - Open-source GitHub repo has 12,720 stars, 527 releases, active contributor community - Traffic: 196,886 monthly visits (+42 % YoY) ## Competitive Advantages - **Open‑source & LLM‑agnostic**: Works with any model (OpenAI, Llama, Anthropic, Mistral, custom). - **Speed & Isolation**: Sandboxes start in <200 ms; microVM isolation (Firecracker) for untrusted code. - **Enterprise‑grade**: BYOC, on‑prem, VPC deployment, SAML/Okta SSO, GDPR/enterprise security features. - **Deep Integrations**: Supports Python, JavaScript, TypeScript, Go, Ruby, C++, and most Linux packages. - **Large Community**: 12.7 K GitHub stars, active Discord, cookbook with example workflows. ## Strategic Focus - **Scale Enterprise Adoption**: Already serving Fortune 100 clients, aims to become the default cloud for AI agents. - **Product Expansion**: Adding reinforcement learning, deep research agents, and longer sessions (up to 24 h). - **Talent Growth**: Actively hiring 16+ roles (Product Engineer, SRE, Distributed Systems, DevRel, etc.) to accelerate product development. ## Why Work Here - **High‑impact mission**: Build the foundational infrastructure for the next wave of AI – used by the largest tech companies and open‑source community. - **Strong engineering culture**: Cross‑disciplinary team (distributed systems, security, AI) with an open‑source ethos; tech stack includes Python, TypeScript, Go, Kubernetes, Docker, Terraform, Firecracker, and major cloud providers. - **Growth trajectory**: 169 % headcount growth, $35 M in funding, and a clear enterprise traction story. - **Location & flexibility**: Offices in San Francisco (HQ) and Prague, Czechia. Remote/hybrid not explicitly stated but team operates across 5 countries. - **Visible open‑source work**: GitHub repository with 12.7 K stars allows engineers to contribute publicly and build reputation. ## Sources 1. [e2b.dev](https://e2b.dev/) 2. [e2b.dev/careers](https://www.e2b.dev/careers) 3. [linkedin.com/company/e2b-dev](https://www.linkedin.com/company/e2b-dev) 4. [github.com/e2b-dev/e2b](https://github.com/e2b-dev/e2b) 5. [tracxn.com](https://tracxn.com/d/companies/e2b/__U7C82j6Wk3VH-rgW0n4LFnUqqq-LuBw6rnIcnLGz2yU) ## Other roles at E2B - [Site Reliability Engineer](https://feeny.ai/job/site-reliability-engineer-e2b-san-francisco-zpwjsn7fvkgg) — San Francisco, CA - [Backend Software Engineer - Enterprise](https://feeny.ai/job/backend-software-engineer-enterprise-e2b-san-francisco-7frg7fw2fmv5) — San Francisco, CA - [Senior Data Engineer](https://feeny.ai/job/senior-data-engineer-e2b-san-francisco-632ccjm40qx9) — San Francisco, CA - [Founding Product Marketing Lead](https://feeny.ai/job/founding-product-marketing-lead-e2b-san-francisco-6hefb4wh2csd) — San Francisco, CA - [Billing Engineer](https://feeny.ai/job/billing-engineer-e2b-prague-zj9t3htcfd7f) — Prague, Czech Republic - [Technical Copywriter](https://feeny.ai/job/technical-copywriter-e2b-san-francisco-ssw0phegqcyz) — San Francisco, CA - [Founding Community & Ecosystem Lead](https://feeny.ai/job/founding-community-ecosystem-lead-e2b-san-francisco-mn9gr036axce) — San Francisco, CA - [Engineering Team Lead, Platform](https://feeny.ai/job/engineering-team-lead-platform-e2b-prague-306jybs5caqr) — Prague, Czech Republic - [Product Engineer - Backend Developer](https://feeny.ai/job/product-engineer-backend-developer-e2b-prague-6a4j1bpy60wh) — Prague, Czech Republic - [Platform Engineer](https://feeny.ai/job/platform-engineer-e2b-prague-394epn2ng4xj) — Prague, Czech Republic