Job Description

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 CCMShelp 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.