What You'll Do
• Own end-to-end documentation for Litmus's AI/ML capabilities - edge inferencing, anomaly detection, predictive maintenance, model configuration, and limitations - across Litmus Edge and Litmus Edge Manager.
• Translate complex AI/ML and industrial-IoT concepts into clear, accurate content for plant engineers, IT/OT admins, and developers.
• Design and run AI-assisted documentation workflows: LLM-assisted drafting, automated accuracy/consistency checks, and docs-as-code pipelines.
• Partner directly with product managers and ML/data engineers to document model behavior, APIs, and configuration before and at release.
• Set authoring standards and prompt guidelines for how the writing team uses AI tools, and mentor other writers on adoption.
• Maintain information architecture across the help center, in-product help, API reference, and release notes.
• Validate documentation against actual product behavior through hands-on testing, not just spec review.
What You Bring
• 5+ years of technical writing experience, ideally in B2B, industrial, or IoT software.
• Demonstrated experience documenting AI/ML or data-driven product features.
• Hands-on production experience using AI writing tools (e.g., Claude, ChatGPT, Copilot) to draft, edit, or QA documentation - not just occasional use.
• Comfort working docs-as-code: Markdown, Git, static site generators.
• Strong ability to interview engineers and PMs and turn technical/AI concepts into clear content independently.
• A portfolio demonstrating both technical depth and clarity of writing.
Nice to Have/Preferred Skills
• Experience with structured authoring (DITA) or API documentation tooling (Swagger/OpenAPI).
• Working literacy in ML/data science concepts (model training, inference, drift).
• Experience building internal AI tooling or copilots for a documentation team.
• Background in industrial IoT, manufacturing, or OT/IT convergence.
