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Documentation Engineer

Modal Labs · New York

CHECKED 16H AGO

Infrastructureonsite$200k–$275k
Apply on the lab’s site ↗

At a glance

Highlights

  • Shape docs architecture as Modal launches new AI infrastructure products.
  • Invent novel doc formats to boost productivity of AI agents on Modal.
  • Build automated pipelines ensuring code examples and prose stay correct.

What they offer

  • Equity

Ideal candidate

A content-minded engineer with devtools experience who obsesses over clarity and developer experience and wants to shape how humans and AI agents learn Modal.

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)

Lab profile

About Modal Labs

Serverless cloud infrastructure for AI workloads with instant GPU compute.

What they build

  • Serverless GPU cloud platform
  • Python SDK
  • Cloud sandboxes

Known for

  • Systems engineering at scale
  • ML performance optimization
  • Developer-first experience
More about Modal Labs →
Apply on the lab’s site ↗