Docs Engineer for AI Infrastructure & Developer Experience

Socket.dev; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Modal is seeking a content-minded engineer to curate its technical documentation and uphold a high quality bar across multiple dimensions. You will partner with product teams to ensure docs evolve with new features and workflows, aligning with developer needs and best practices.

You will collaborate with engineers to build automated pipelines, standards, and delivery channels that boost agent productivity and maintain accuracy across code examples and prose.

Qualifications

• 3+ years in an engineering, product, or developer relations role.
• Experience authoring and/or editing high-quality technical content for developers.
• Knowledge of agentic engineering workflows and best practices.
• Familiarity with modern software development practices (version control, CI/CD, testing).

Responsibilities

• Think holistically about content architecture and how the docs should evolve as Modal introduces new products and features.
• Innovate on novel documentation formats and delivery channels to optimize agent productivity, in collaboration with our Agent DX research team.
• Develop content standards, style guides, and automated enforcement mechanisms to ensure consistent style and high quality.
• Build and maintain automated pipelines that will enforce the correctness of code examples and prose descriptions.
• Collaborate with engineers across the company to author documentation that is clear, consistent, and correct.

Skills

Content authoring

Devtools/Infrastructure

Developer relations

Agentic workflows

Tools

CI/CD

Documentation tooling

Job description

Modal is seeking a content-minded engineer to curate its technical documentation and uphold a high quality bar across multiple dimensions. You will partner with product teams to ensure docs evolve with new features and workflows, aligning with developer needs and best practices.

You will collaborate with engineers to build automated pipelines, standards, and delivery channels that boost agent productivity and maintain accuracy across code examples and prose.