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 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 .
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
