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Diligent is seeking a Senior Content Engineer to lead documentation strategy and execution across its GRC SaaS platform. In this role, you will shape how complex product knowledge is created, structured, published, and consumed by both people and AI systems.
Key Responsibilities:
- Lead documentation strategy and execution across assigned SaaS product areas, ensuring content is clear, accurate, consistent, and customer-focused
- Define and improve information architecture, content models, structured content, and documentation standards to make knowledge scalable and reusable
- Build and maintain AI-ready content, including agent instructions, prompt libraries, reusable skills, and workflows that help AI systems find and use product knowledge effectively
- Partner with Product, Engineering, Design, Support, Customer Success, Training, Implementation, and Marketing teams to embed documentation into the product development lifecycle
- Build and improve automated documentation workflows covering content testing, validation, publishing, deployment, and quality assurance
- Use customer feedback, analytics, and content performance data to continuously improve documentation quality, findability, freshness, and overall customer experience
You will work closely with cross-functional teams to ensure documentation is discoverable, reusable, and ready for the next generation of AI-powered experiences. This is a hybrid role based in Bengaluru with an expectation to work onsite at least 50% of the time.
Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members clarify risk and elevate governance. The company has offices globally including New York, Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore, and Sydney.
REQUIREMENTS:
- 7–10 years' experience in technical writing, content engineering, or product documentation, ideally within a complex software/SaaS environment
- Strong experience defining documentation strategy, information architecture, content models, and content standards across products or domains
- Proven experience with Docs-as-Code, Git/GitHub, structured authoring, XML/DITA, and modern documentation workflows
- Experience with documentation automation and CI/CD, including publishing, testing, validation, and deployment workflows
- Understanding of AI/LLM concepts, RAG, AI-assisted content workflows, and agent-based workflows, with an interest in how content is consumed by AI systems
- Strong technical writing and editing skills, with the ability to turn complex technical concepts into clear, concise, customer-focused content
- Strong collaboration skills and experience working with Product, Engineering, Design, and other cross-functional stakeholders
NICE-TO-HAVE:
- Experience with MadCap Flare, AWS CodeBuild, GitHub Actions, Vale, Figma, Pendo, or similar tools
- Experience creating in-product content, including tooltips, onboarding guidance, contextual help, and other product experiences
- Experience with scripting using Python, Bash, or JavaScript to improve content operations
- Experience designing prompt libraries, agent skills, or AI-powered documentation workflows
- Familiarity with WCAG/accessibility, semantic markup, schema design, and content analytics
- Experience mentoring technical writers or influencing documentation practices across an organization
