We're looking for a Technical Writer (Product Documentation) to create, maintain, and improve documentation for a complex enterprise revenue management product suite. The ideal candidate can independently learn intricate business logic and workflows, then translate them into clear, user-friendly content — while also bringing growing fluency in AI-assisted documentation workflows.
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 notes, 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 rel="noopener noreferrer">www.modeln.com.
