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Modal is building a new infrastructure layer for AI—a serverless cloud platform for AI, data, and compute-intensive applications. The company recently raised $355M in Series C funding at a $4.65B valuation and has crossed $300M+ ARR. Customers include Lovable, Ramp, Cognition, DoorDash, and Suno.
As a Documentation Engineer, you will partner with product teams to curate Modal's technical documentation and maintain a high quality bar across multiple dimensions. Modal views high-quality documentation as essential for developer experience, especially as agents increasingly deploy and operate Modal Apps.
Key responsibilities include:
- Thinking holistically about content architecture and how the docs should evolve as Modal introduces new products and features
- Innovating on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with the Agent DX research team
- Developing content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality
- Building and maintaining automated pipelines that will enforce the correctness of code examples and prose descriptions
- Collaborating with engineers across the company to author documentation that is clear, consistent, and correct
REQUIREMENTS:
- 3+ years of experience in an engineering, product, or developer relations role, ideally in the devtools or infrastructure space
- Experience authoring and/or editing high-quality technical content for developers
- Knowledge of agentic engineering workflows and best practices
- Comfort with modern software development practices (version control, CI/CD, testing)
About Modal Labs
AI / Data / Infrastructure — serverless cloud platform for AI, data, and compute-intensive applications.
