Padmi
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Model N

revenue management software · pharma pricing and compliance

Technical Writer (Product Documentation)

India · HybridPosted 19 days ago
ProductMid-levelRegular Full Time
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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.

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