Senior Technical Writer - AI-Driven API Docs Leader

Speedrun Talent Network

New York (NY)

Hybrid

USD 110,000 - 170,000

Full time

4 days ago
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Job summary

Speedrun Talent Network is seeking a technically adept writer to own documentation for a product area within our AI-enabled software stack. You will collaborate closely with product managers and engineers to shape content that guides users and internal teams.

You will write, test, and maintain how-to guides and references, contribute to docs-as-code workflows, and drive improvements to the docs platform while ensuring accuracy and timely updates across AI-native workflows.

Qualifications

  • Worked with other technical writers on a docs team and participate in reviews.
  • Experience as a technical writer at a software company or startup.
  • Experience working with AI and AI-native workflows (MCP servers).
  • Understanding of testing software, including APIs and command line tools.
  • Comfort with the command line and solid Git experience.
  • Experience maintaining, managing, and reviewing docs in a docs-as-code environment.

Responsibilities

  • Own the documentation strategy for your product area.
  • Collaborate with product and field teams to identify docs gaps and bring data.
  • Sit in on product management discussions to align docs with product strategy.
  • Write and edit how-to guides, reference documentation, and landing pages.
  • Test everything you write and ensure accuracy and guidelines compliance.

Skills

Technical writing
AI workflows
Git
API testing
Command line
Docs-as-code

Tools

Git
API test tooling

Job description

Speedrun Talent Network is seeking a technically adept writer to own documentation for a product area within our AI-enabled software stack. You will collaborate closely with product managers and engineers to shape content that guides users and internal teams.

You will write, test, and maintain how-to guides and references, contribute to docs-as-code workflows, and drive improvements to the docs platform while ensuring accuracy and timely updates across AI-native workflows.

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