Product Marketing Lead

Posted Yesterday
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San Francisco, CA, USA
In-Office
150K-200K Annually
Senior level
Artificial Intelligence
Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox
The Role
Own E2B’s technical content strategy and production across articles, social posts, emails, customer stories, comparison pages, launches, and sales materials. Partner with engineering, product, sales, and customers to create credible developer-focused content, run AEO and editorial experiments, measure citation share and pipeline impact, develop technical proof points, and continuously improve or retire underperforming content.
Summary Generated by Built In
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

As Product 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.

Skills Required

  • 4–7 years creating technical content for a developer audience
  • Ability to read code and write credibly about sandboxing, isolation, runtime security, and adjacent infrastructure topics
  • Strong editorial judgment and point of view
  • Experience connecting content to measurement across citations, qualified pipeline, conversion, and revenue influence
  • Experience partnering with engineers, growth, sales, and customers
  • Bias toward ownership, experimentation, hypothesis formation, measurement, and decisive follow-through
  • Judgment to stop work that is not producing meaningful results
  • Experience running an SEO or AEO program
  • Ability to read simple code and write about sandboxing, isolation, and runtime security independently
  • Experience creating technical comparison, migration, or developer-education content for a B2B infrastructure company
  • Track record of tying content programs to pipeline in a high-growth startup
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The Company
HQ: San Francisco, CA
17 Employees
Year Founded: 2023

What We Do

Code interpreting for your AI apps | Safely run AI-generated code in E2B sandbox

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