Technical Writer (Product Documentation)

Job Responsibilities

• Ingest and understand complex revenue management concepts (pricing, contracts, rebates, compliance, or similar) directly from engineering specs, SMEs, and product behavior
• Write, edit, and maintain user guides, release note s, API docs, and help content that make complex workflows accessible to non-technical end users
• Collaborate with product managers, engineers, and QA to gather and verify accurate technical information
• Maintain style guide consistency and information architecture across the doc set
• Manage documentation within a CCMS /help authoring tool
• Participate in content reviews, drive doc quality metrics, and manage multiple projects/deadlines
• Use AI tools to accelerate drafting, classification, and content QA while maintaining accuracy and voice

Job Qualification

• 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.

About Model N Model N is the leader in revenue optimization and compliance for pharmaceutical, medtech and high-tech innovators. For more than 25 years, we have helped customers maximize revenue, streamline operations, and maintain compliance through cloud-based software, value-add services, and data-driven insights. With a focus on innovation and customer success, Model N empowers life sciences and high-tech manufacturers to bring life-changing products to the world more efficiently and profitably. Model N is trusted by over 150 of the world’s leading companies across more than 120 countries. For more information, visit www.modeln.com.