--- title: 'Senior Data Engineer at E2B' canonical: 'https://feeny.ai/job/senior-data-engineer-e2b-san-francisco-632ccjm40qx9' type: 'job' last_seen: '2026-10-19' --- # Senior Data Engineer at E2B - **Company:** E2B - **Location:** San Francisco, CA - **Compensation:** $200k–$250k - **Employment:** full-time - **Work type:** onsite - **Posted:** 2026-10-06 - **Last confirmed live:** 2026-10-19 - **Apply:** https://jobs.ashbyhq.com/e2b/64fe2979-3abe-4a32-8a24-ec5b8582c1a1 ## 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 We’re looking for a Senior Data Engineer to build the data foundation that helps us understand our business and make better decisions. You’ll turn data across our infrastructure, billing, and business systems into reliable pipelines and clearly defined datasets. You’ll join the engineering team, report to our Head of Engineering, and work closely with our Head of Finance as your primary partner initially. Over time, your work will support Growth, GTM, and other teams across E2B. We have data and pieces of the foundation in place. You’ll help bring them together, establish the missing building blocks, and own the quality and usefulness of what we deliver. You’ll have direct access to the people using your work and substantial ownership over how E2B’s data foundation develops. Your work will help teams answer important questions independently, spend less time reconciling numbers, and make decisions with confidence. Responsibilities include: - Build and operate pipelines that bring operational and business data into our warehouse, including sandbox usage, cloud infrastructure, billing, and accounting data. - Create data models and shared metric definitions that teams can understand and use consistently. - Establish testing, monitoring, reconciliation, and alerting to catch missing data, inconsistencies, and unexpected changes. - Partner with Finance to turn business questions into dependable datasets, starting with usage, revenue, costs, and margins. - Make data accessible for self-service analysis, reporting, and AI-assisted querying through clear structure and documentation. - Work with engineering teams to improve source data quality and resolve issues from ingestion through downstream consumption. - Make practical decisions about architecture and tooling, balancing immediate business needs with maintainability. ## What We’re Looking For - Experience building and owning production data pipelines and warehouse models, including establishing foundations where systems were incomplete or fragmented. - Strong SQL and Python skills, with sound software engineering practices around testing, version control, deployment, and monitoring. - Experience with a cloud data warehouse such as BigQuery, Snowflake, or Redshift, and tools for data transformation and orchestration. - A track record of working directly with business stakeholders, clarifying ambiguous requirements, and connecting technical work to business outcomes. - The ability to investigate discrepancies, understand their root causes, and make the underlying systems more reliable. - Strong ownership: you can identify what needs to happen, prioritize it, and carry it through without detailed instructions. We expect this experience will often come from around six or more years of relevant work, but the depth of your ownership and what you’ve built matter more than a specific number. Bonus Points For: - Building data foundations at a startup or on a small team. - Supporting Finance, Revenue Operations, Growth, or GTM. - Working with usage-based products, billing data, or cloud infrastructure costs. - Building well-documented datasets that support self-service analytics and AI tools. Finance domain expertise is helpful, but it isn’t required. We’re looking for an engineer who is curious about the business, learns quickly, and takes responsibility for delivering data people can trust. 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 - [Support Engineer](https://feeny.ai/job/support-engineer-e2b-prague-qe81bt4dqf96) — Prague, Czech Republic - [Founding Product Marketing Lead](https://feeny.ai/job/founding-product-marketing-lead-e2b-san-francisco-6hefb4wh2csd) — San Francisco, CA - [Videographer & Video Editor](https://feeny.ai/job/videographer-video-editor-e2b-san-francisco-vpcwd15z4tj9) — 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 - [Product Engineer - Backend Developer](https://feeny.ai/job/product-engineer-backend-developer-e2b-san-francisco-zks5f2vz66tr) — San Francisco, CA - [Platform Engineer](https://feeny.ai/job/platform-engineer-e2b-prague-394epn2ng4xj) — Prague, Czech Republic