In This Role
You will support a knowledge engineering and content transformation function focused on improving the documentation lifecycle through AI-enabled tools, automation, and modern docs-as-code practices. This role sits at the intersection of technical content development, content operations, and software engineering-adjacent workflows.
You will help plan, develop, test, and improve AI-powered documentation solutions, including agent skills, automation workflows, internal knowledge resources, and technical content programs. The ideal candidate will be comfortable writing and maintaining developer-facing content while also working in technical environments that include Markdown, Git-based collaboration, CI/CD publishing workflows, scripting, and AI-assisted coding tools.
This is not a traditional technical writing role. The right candidate will bring strong technical content experience along with hands-on comfort using modern engineering tools, automation, and AI-assisted workflows to improve documentation quality, speed, consistency, and scalability.
Responsibilities
- Plan, scope, and manage technical content programs from ideation through authoring, review, user acceptance testing, publication, and ongoing maintenance.
- Author, edit, and review technical content such as internal wiki articles, how-to guides, UAT plans, process documentation, and contributor guidance.
- Support docs-as-code workflows using Markdown, code editors, Git-based collaboration, pull requests, issues, and CI/CD publishing processes.
- Facilitate user acceptance testing, gather participant feedback, document findings, and recommend next steps.
- Monitor adoption, usage, feedback, and success metrics for documentation tools, agent skills, and AI-enabled content workflows.
- Track documentation quality indicators such as engagement, satisfaction, time-to-resolution, content freshness, accessibility, and issue resolution.
- Triage and resolve content bugs from feedback channels, analytics, and issue backlogs.
- Partner cross-functionally with content, engineering, product, design, and transformation stakeholders to coordinate workstreams and ensure documentation accuracy.
- Apply content quality standards, including voice and tone, accessibility, information architecture, metadata, taxonomy, localization readiness, and content reuse practices.
- Use technical authoring and publishing tools such as Visual Studio Code or similar editors, Markdown linters, static-site publishing systems, and documentation repositories.
- Apply software engineering practices such as branching strategies, code review, automated validation, and testing to content development workflows.
- Use AI-assisted and agentic coding tools to accelerate content creation, automate repetitive documentation tasks, and prototype workflow improvements.
- Identify opportunities to integrate AI-assisted authoring, content generation, quality assurance, and automation into the documentation lifecycle.
- Contribute to or build lightweight scripts, tools, extensions, or automation using languages such as Python, JavaScript, TypeScript, or similar technologies.
Required Qualifications
- Bachelor’s degree in Computer Science, Technical Communication, English, Information Science, or a related field, or equivalent practical experience.
- 4+ years of experience in technical content development, technical writing, or content program management for software, developer, or cloud-based products.
- 2+ years of experience with docs-as-code workflows, including Markdown authoring, Git-based collaboration, pull request workflows, and CI/CD publishing pipelines.
- Experience using Visual Studio Code or a comparable code editor as a primary authoring environment.
- Familiarity with large-scale developer documentation platforms or enterprise documentation ecosystems.
- Experience managing content at scale, including information architecture, metadata, taxonomy, localization considerations, and content reuse strategies.
- Solid understanding of software development concepts such as version control, APIs, SDKs, command-line tools, scripting, and developer workflows.
- Strong written and verbal communication skills with the ability to explain complex technical topics clearly for developer and technical audiences.
- Strong program or project management skills, including the ability to manage multiple workstreams, prioritize effectively, and deliver on schedule.
- Ability to collaborate with engineering, content, product, design, and cross-functional stakeholders in a fast-paced technical environment.