---
title: 'Content Marketing Lead at E2B'
canonical: 'https://feeny.ai/job/content-marketing-lead-e2b-san-francisco-6hefb4wh2csd'
type: 'job'
last_seen: '2026-09-14'
---

# Content Marketing Lead at E2B

- **Company:** E2B
- **Location:** San Francisco, CA
- **Compensation:** $150k–$200k
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-31
- **Last confirmed live:** 2026-09-14
- **Apply:** https://jobs.ashbyhq.com/e2b/d07e3421-9d5f-4145-8b54-cf6f4ac2cb45

## 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 E2B

E2B is a fast-growing Series A startup with 8-figure revenue. We've raised over $37M since our founding in 2023. Our customers include companies like Microsoft, Perplexity, Hugging Face, Manus, and Groq. We're building the next hyperscaler for AI agents.

## About the role

As Content Marketing Lead, you’ll be the primary producer behind E2B’s content. You’ll create technical articles, social media posts, emails, customer stories, comparison pages, launch content, and sales materials. You’ll take work from idea or brief through research, drafting, review, publication, and distribution. This is a highly-collaborative role. You should enjoy interviewing technical experts, turning complex ideas into clear content, managing several projects at once, and shipping high-quality work consistently. You’ll own the content strategy with excellent execution and production. You’ll work closely with growth engineering, product, developer relations, sales, account management, and technical leaders. Every meaningful piece should have a clear audience, purpose, distribution plan, and way to measure whether it worked.

## What you’ll do

- Build the answer layer. Create problem-shaped, docs-adjacent content that earns citations in LLM answers and holds up under a developer’s scrutiny.
- Own the editorial loop for the AEO scanner. Partner with growth engineering on the scanner, choose the prompts E2B is losing, identify the gaps, ship content to close them, and measure whether citation share moves.
- Publish credible comparison and migration content. Evaluate real alternatives using transparent benchmarks and enough technical depth to earn engineers’ trust.
- Turn customer outcomes into technical proof. Develop case studies from top accounts and sequence them with account-expansion plays so the right evidence lands when a buyer needs it.
- Run the editorial calendar as a test backlog. Prioritize work by expected impact, not publishing frequency.
- Operate an experiment loop. Define the hypothesis, metric, cohort, and review date for each piece. Rewrite once when a test misses, then retire it if it still fails.
- Audit and prune the library quarterly. Remove or improve content that doesn’t earn citations, influence qualified pipeline, or strengthen the answer layer.

## What we’re looking for

- 4–7 years creating technical content for a developer audience.
- The ability to read code and write credibly about sandboxing, isolation, runtime security, and adjacent infrastructure topics without relying on hand-waving.
- A strong editorial point of view. You know when a topic deserves a deep technical argument and when a piece should not be published at all.
- Experience connecting content to a real measurement model across citations, qualified pipeline, conversion, and revenue influence.
- Comfort partnering directly with engineers, growth, sales, and customers to uncover evidence and turn it into useful content.
- A bias toward ownership and experimentation. You form hypotheses, ship, measure, learn, and make decisive calls about what happens next.
- The judgment to stop work that isn’t earning its place. Traffic alone is not the deliverable.

## Nice to have

- Experience running an SEO or AEO (answer-engine optimization) program.
- You can read simple code and write about sandboxing, isolation, and runtime security without a ghostwriter;
- Experience building technical comparison, migration, or developer-education content for a B2B infrastructure company.
- A track record of tying content programs to pipeline in a high-growth startup.

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)

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