Technical Writer Resume: Beat the AI Screener
Technical writing ATS systems filter on documentation tools, content types, and audience specificity. Your resume needs to show you can write for developers, end users, or both — and quantify the scope and impact of your documentation.
Common ATS Mistakes for This Role
- 1Not listing documentation tools: MadCap Flare, Confluence, GitBook, ReadMe, Markdown, DITA, Oxygen XML — tool proficiency is a primary filter
- 2Missing content types: API documentation, user guides, knowledge base, release notes, runbooks, SOPs — each is a distinct keyword
- 3Writing "wrote documentation" without specifying audience, volume, or impact metrics
- 4Omitting docs-as-code experience: Git, Markdown, static site generators (Hugo, Docusaurus, MkDocs) — increasingly required
- 5Not mentioning cross-functional collaboration with engineering, product, and support teams
Top Keywords AI Screeners Look For
technical documentationAPI documentationuser guidesDITAConfluenceMarkdowndocs-as-codeinformation architecturestyle guidesknowledge basecontent managementdeveloper documentation
Before & After: Bullet Rewrites
1
Wrote user documentation for software products
Authored and maintained 200+ page documentation site (GitBook + Markdown) for developer platform, covering API reference, quickstart guides, and tutorials serving 50K+ monthly page views
2
Created API documentation
Wrote OpenAPI specification and API reference documentation for 85 endpoints, including code samples in 4 languages (Python, JavaScript, Go, cURL), reducing developer integration time by 40% and support tickets by 55%
3
Maintained the knowledge base
Restructured 500-article knowledge base (Confluence → Zendesk Guide), implementing new information architecture and SEO optimization that improved self-service resolution rate from 35% to 62% and reduced support ticket volume by 28%
Pro Tip
Include documentation impact metrics: page views, search rankings, support ticket reduction, developer adoption rates. Technical writing ATS systems increasingly score on business outcomes, not just writing volume. "Reduced support tickets by 40%" scores higher than "wrote 50 articles."
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