Content Systems Engineer, Technical Documentation

Overview

Own the end-to-end documentation experience for Glean’s connectors, which allow Glean to securely access knowledge across customers’ systems. Combine technical writing, programming, information architecture, and AI practices to build scalable systems that keep connector documentation complete, accurate, fresh, and trustworthy.

What you'll do

• 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.

What you'll need

• 8-10 years of professional experience creating or maintaining technical documentation for a complex software product.
• A bachelor’s degree in computer science, technical communication, engineering, or another relevant field.
• Ability to independently build, debug, test, and maintain useful scripts, agents, automations, or content pipelines.
• Strong proficiency in at least one programming language.
• 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.
• Judgment to organize large amounts of ambiguous or conflicting information without producing unverified or low-quality content.
• Ability to learn a technically complex product deeply and explain how it works with authority.
• Clear communication skills and ability to work effectively with engineers, product managers, QA, support teams, field teams, and other subject-matter experts.
• Customer-focused approach to evaluating documentation quality and prioritizing improvements.
• Willingness and ability to work on-site full time in Glean’s Bangalore office.

Nice to have

• Proficiency in Python, TypeScript, or JavaScript.
• 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.

Details

• Location: Bangalore, India.
• Hybrid role with 3 days a week in the Bangalore office.