Senior Technical Writer at Litmus, documenting AI/ML capabilities and translating technical concepts for various stakeholders. Collaborating with product managers and engineers to maintain information architecture.
Responsibilities
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.
Requirements
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.
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