Senior Technical Content Engineer (AI & UX Focus)

At CyberArk we are moving beyond traditional documentation. We are building a Knowledge Architecture that powers our SaaS transformation and Agentic AI strategy. We are looking for a Senior Technical Content Engineer who views content as structured data. You wont just write topics; you will design the information models that ensure our customers (and our AI agents) can find trust and act on information instantly.
Key Responsibilities

• Information Architecture & RAG Readiness: Lead the transition from monolithic docs to granular metadata-rich content. Ensure all documentation is optimized for Large Language Model (LLM) consumption focusing on chunking strategy semantic accuracy and RAG-readiness.
• Supportability Engineering: Use support data (Salesforce/Tableau) and product analytics (Mixpanel) to identify friction points. Design How-to-fix-it content architectures that preemptively deflect support tickets.
• Guided UX & Microcopy: Partner with Product and UX teams to design interactive in-product guided workflows. You will treat the UI as the primary documentation surface reducing the need for external manuals.
• Platform-Wide Governance: Enforce unified standards across product pods. You will be a champion for the Standards & Operations Hub (SOH) ensuring that cross-service workflows are seamless and consistent.
• AI Orchestration: Proactively build and implement AI-assisted workflows (e.g. automated style-checking content generation pipelines) to increase organizational velocity and quality.

Qualifications :

• Systems Thinking: 5 years in technical documentation with a proven track record of designing content models not just writing features.
• AI Literacy: Hands-on experience using LLMs to optimize documentation workflows. You understand how AI reads content and how to structure data to minimize hallucinations.
• Data-Driven Mindset: Ability to analyze user behavior through analytics tools to prove the ROI of documentation initiatives.
• Technical Proficiency: Expert-level experience with Docs-as-Code (GitHub/GitLab CI/CD) and structured authoring (MadCap Flare or similar DITA-based logic).
• Influence & Leadership: Ability to challenge Product Managers on UX and hold engineering teams accountable for documentation-ready features.

Remote Work :

No

Employment Type :

Full-time