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Content Systems Engineer, Technical Documentation

Glean· Product
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Hybrid (Bangalore, India)Full-timePosted 2w ago

About the role

AI-first documentation role focused on owning and automating the connector documentation experience, ensuring freshness, accuracy, and reliability for technical administrators across customer systems.

Responsibilities

  • Own the end-to-end quality, organization, and maintenance of Glean’s connector documentation.
  • Develop a deep understanding of how Glean’s connectors work, including their configuration, authentication, permissions, deployment, and troubleshooting requirements.
  • Build and maintain scripts, agents, and content pipelines that automate documentation creation, transformation, validation, and maintenance.
  • Design reusable AI workflows that combine appropriate models, tools, product context, instructions, and human review.
  • Create evaluations and guardrails for AI-generated and AI-maintained documentation, investigate failures, and improve the context, tools, prompts, and systems that shape output quality.
  • Build deterministic checks that detect stale, inconsistent, incomplete, or inaccurate documentation.
  • Establish an information architecture that helps technical administrators navigate complex setup and configuration flows.
  • Partner with Engineering, Product, QA, Support, field teams, and customers to understand product behavior, identify documentation risks, and prioritize improvements.
  • Define and track measures of documentation health, including freshness, accuracy, automated-check coverage, manual effort, and field or support complaints.
  • Apply successful tools, standards, and quality systems from the connector domain to the broader Glean documentation practice.

Qualifications

  • Prior professional experience of 8-10 Years creating or maintaining technical documentation for a complex software product.
  • A bachelor’s degree in computer science, technical communication, engineering, or another relevant field.
  • Demonstrated ability to independently build, debug, test, and maintain useful scripts, agents, automations, or content pipelines.
  • Strong proficiency in at least one programming language, preferably Python, TypeScript, or JavaScript.
  • Experience with docs-as-code or software-development workflows, including Git, GitHub, command-line tools, code review, and CI/CD.
  • Advanced practical experience using AI beyond one-off content generation.
  • Strong knowledge of technical-writing and content-design principles, including audience analysis, information architecture, task-oriented documentation, and progressive disclosure.
  • The judgment to organize large amounts of ambiguous or conflicting information without producing unverified or low-quality content.
  • The ability to learn a technically complex product deeply and explain how it works with authority.
  • Clear communication skills and the ability to work effectively with engineers, product managers, QA, support teams, field teams, and other subject-matter experts.
  • A customer-focused approach to evaluating documentation quality and prioritizing improvements.
  • Willingness and ability to work on-site full time in Glean’s Bangalore office.
  • Recent professional experience in software development, test automation, or quality assurance.
  • Experience building automated tests or content-quality checks with tools such as Playwright.
  • Experience documenting enterprise software, APIs, authentication systems, permissions models, integrations, or administrative workflows.
  • Familiarity with API specifications and structured documentation sources, including OpenAPI.
  • Experience working directly with customers or conducting structured customer research.
  • Experience defining service-level objectives or other measurable standards for documentation freshness and accuracy.

Skills

Required:Technical WritingScriptingAI in DocumentationProgrammingDocs-as-Code
Last updated Oct 14, 2026. Interested? Apply on the company site.

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