Senior Technical Content Engineer – AI Documentation
New
B
Blueprint TechnologiesTechnology solutions
RemoteFull-TimeSenior
Salary100,000 - 120,000 USD per year
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Job Details
- Experience
- 4+ years of experience in technical content development, technical writing, or content program management; 2+ years of experience with docs-as-code workflows.
- Required Skills
- PythonGitJavascriptTypeScriptCI/CD
Requirements
- Bachelor’s degree in Computer Science, Technical Communication, English, Information Science, 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 for developer and technical audiences.
- Strong program or project management skills to manage multiple workstreams and prioritize effectively.
- Ability to collaborate with engineering, content, product, design, and cross-functional stakeholders.
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.
- Partner cross-functionally with content, engineering, product, design, and transformation stakeholders to coordinate workstreams.
- 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 and prototype workflow improvements.
- Contribute to or build lightweight scripts, tools, extensions, or automation using languages such as Python, JavaScript, TypeScript, or similar technologies.
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