Work directly with subject matter experts across the company to extract, structure, and refine complex information into user-friendly content.
Audit and analyze existing content libraries to identify overlaps, gaps, and opportunities for consolidation, optimization, and improved information architecture of the Intuit Design System (IDS) documentation.
Author internal documentation in accordance with our shared content strategy, style guidelines, and best practices.
Leverage AI technologies to enhance efficiency in content creation, management, and analysis, exploring innovative applications for generative AI in our content workflows.
Skills:
Required Qualifications
Bachelor’s or Master’s Degree in Journalism, English, Library Science, or a related field, or equivalent practical experience.
Strong understanding of generative AI technologies, including prompting techniques and their practical applications in content creation and management.
Have interest in and a basic understanding of how large language and retrieval augmented generation (RAG) models work, and the role content plays in their functionality.
Proven experience authoring and managing internal technical documentation within a fast-paced environment.
Experience with content modeling and information architecture.
Exceptional communication, collaboration, and leadership skills, with a proven ability to influence and guide cross-functional teams.
A strategic and analytical systems thinker with the ability to solve complex content problems and develop scalable solutions.
Extra credit for: A proven track record in metadata management, content management systems (CMS), taxonomy, ontology, and knowledge graphs.
Experience working within or using a design system, especially contributing to or documenting a system like IDS.
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