Technical Writer (Product Documentation)

Model N; Hyderabad; On-site; INR 800,000 - 1,200,000; Full time

Job summary

Model N is seeking a Technical Writer focused on creating and improving documentation for an enterprise revenue management product suite. The role involves understanding complex concepts and translating them into user-friendly documentation.

Ideal candidates have 3–5 years of technical writing experience in software contexts, a strong grasp of English, and familiarity with AI tools. Join a team focused on modernizing documentation workflows, integrating AI for quicker, accurate content production.

Qualifications

• 3–5 years of experience in technical writing, preferably in B2B SaaS or enterprise software.
• Strong command of English grammar, style, and structured writing.
• Experience with authoring/publishing tools and Agile/Scrum processes.

Responsibilities

• Ingest and understand complex revenue management concepts.
• Write, edit, and maintain user guides, release notes, and help content.
• Collaborate with product managers, engineers, and QA for accurate information.
• Manage documentation within a CCMS/help authoring tool.

Skills

Technical writing

Clear content creation

Stakeholder management

AI tools

Education

Bachelor's degree in English, Communications, Computer Science

Tools

MadCap Flare

Confluence

Git/GitHub

Job description

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 Qualifications

• 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.