Source description
About the role
3–5 years of experience in technical writing, preferably in B2B SaaS or enterprise software
Demonstrated ability to break down complex, ambiguous, or poorly-documented systems into clear content; this matters more than prior domain exposure
Bachelor's degree in English, Communications, Computer Science, or related field (or equivalent experience)
Strong command of English grammar, style, and structured writing (DITA/topic-based authoring a plus)
Experience with authoring/publishing tools (MadCap Flare, Confluence, or similar)
Familiarity with Agile/Scrum development processes
Basic understanding of APIs, SDKs, or software architecture (for technical accuracy)
Experience with version control tools (Git/GitHub) is a plus
Strong stakeholder management and ability to extract information from SMEs and engineers
Nice to Have
Life sciences industry experience (pharma, medtech, or related regulated domains) — not mandatory, but a plus given our customer base
Exposure to revenue management, pricing, contracts, or financial/compliance software domains
AI Tools Experience (Required)
Hands-on experience using AI/LLM tools (e.g., Claude, ChatGPT) for drafting, summarizing, or restructuring documentation
Familiarity with prompt engineering basics for content generation and content QA
Experience integrating AI into a documentation workflow (e.g., pre-triage/classification, draft generation, content audits) — MCP or agentic tooling experience is a strong plus
Comfortable evaluating AI-generated output for accuracy and flagging gaps rather than accepting output at face value
Why Join Us
You'll help build documentation for a product that sits at the intersection of complex business logic and real customer impact, on a team that's actively modernizing how documentation gets made — including hands-on work with AI-assisted authoring pipelines rather than legacy, manual-only workflows.
More at Model N
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