Content Engineer (Contractor)

Content Engineer (Contractor):

Responsibilities

• Create and maintain internal documentation including Deployment Guides, Architecture Overviews, Data Dictionary updates, Agent Skill Design documentation, and Use Case Implementation Guides
• Create and maintain external documentation including Release Notes, User Manuals, Onboarding Guides, and Feature & Functionality content
• Translate complex technical concepts — such as multi-agent workflows, LLM metadata configuration, dimensional data models, and agentic skill frameworks — into clear, accessible content for varied audiences
• Collaborate with SMEs across architecture, engineering, product, and expert services teams to compile, review, and revise documentation
• Manage deliverables across multiple Zora AI products on concurrent release timelines
• Create and maintain reusable document templates that adhere to Zora AI branding guidelines
• Maintain a documentation tracker and contribute to the team's Confluence knowledge base
• Aid in monitoring and curating the SharePoint documentation library

Requirements

Essential

• Excellent written English skills with a strong ability to communicate technical concepts clearly
• Strong communication, interpersonal, and organizational skills
• Experience collaborating with fellow Content Engineers and SMEs to create and review technical content
• Flexibility in an agile, fast-moving environment with shifting priorities and concurrent product releases
• Ability to work both independently and collaboratively toward agreed deadlines
• Genuine curiosity about technology, particularly generative AI, LLMs, and agentic systems, and a willingness to learn rapidly
• Attention to consistency and detail in high-quality documentation
• Basic familiarity with SDLC and software development practices
• Proficiency with image capture/editing software (e.g., Snagit)
• Proficiency with Microsoft Office and SharePoint

Desirable

• Familiarity with Markdown is preferred, Zora AI documentation assets include .md files for data dictionaries, implementation guides, and skill specifications
• Experience with GitHub for version-controlled documentation workflows
• Comfort working in or alongside VSCode for editing Markdown and reviewing technical files
• Hands-on experience using generative AI tools (e.g., Claude) to accelerate content creation, research, and drafting
• Experience with Atlassian Jira and Confluence, used for project tracking and team knowledge management
• Exposure to enterprise business domains relevant to Zora AI workstreams (e.g., finance, tax, sourcing & procurement, or audit) or associated enterprise software
• Experience documenting data models, APIs, or system architecture
• Familiarity with dimensional data modeling concepts (star schemas, fact and dimension tables) is a plus