Content Systems Engineer, Technical Documentation

About this job

Glean is hiring a Content Systems Engineer for its Bangalore office to take ownership of the documentation experience for its enterprise connectors. Glean is a Work AI platform that redefines how organizations find, use, and act on knowledge through advanced enterprise search, an AI assistant, and scalable AI agents. In this role, you will bridge technical writing with programming, information architecture, and modern AI practices. A normal day involves building automated scripts, content pipelines, and AI workflows to ensure documentation freshness and accuracy for technical administrators. You will design deterministic checks, create evaluation guardrails for AI-generated content, and partner closely with engineering, product, QA, and support teams to mitigate risks and scale documentation quality across the platform.

Responsibilities

• Own the end-to-end quality, organization, and maintenance of Glean's connector documentation.
• Build and maintain scripts, agents, and content pipelines that automate documentation creation and validation.
• Design reusable AI workflows combining product context, instructions, and human review.
• Create evaluations and guardrails for AI-generated and maintained documentation.
• Build deterministic checks to detect stale, inconsistent, or inaccurate documentation.
• Establish an information architecture that helps technical administrators navigate complex setup flows.
• Partner with Engineering, Product, QA, Support, and field teams to identify documentation risks.

Requirements

• Prior professional experience of 8-10 Years creating or maintaining technical documentation for complex software products.
• A bachelor's degree in computer science, technical communication, engineering, or a relevant field.
• Demonstrated ability to independently build, debug, test, and maintain scripts, agents, 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, and CI/CD.
• Advanced practical experience using AI beyond one-off content generation.
• Strong knowledge of technical-writing and content-design principles like audience analysis and information architecture.
• Willingness and ability to work on-site full time in Glean's Bangalore office.

Good to have

• 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, or integrations.
• Familiarity with API specifications and structured documentation sources, including OpenAPI.
• Experience working directly with customers or conducting structured customer research.

Who should apply

This role suits experienced technical documentation professionals with a strong programming and automation background who want to pioneer AI-first documentation systems. Ideal candidates bring 8 to 10 years of experience writing for complex software products, possess solid coding skills in languages like Python or JavaScript, and are comfortable building CI/CD pipelines and AI workflows. Freshers are not eligible since the position requires significant prior professional experience. Applicants must also be ready to work full-time from Glean's Bangalore office.

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