As a Content Strategy & AI Enablement Specialist you will not own a single products documentation lifecycle. Instead you will act as a systems architect for the entire organization. Your mission is to transform documentation from a collection of static feature-based articles into a modular workflow-driven knowledge system that is optimized for both human consumption and AI retrieval (RAG).
You will be responsible for building the content factory of the futuredesigning the frameworks taxonomies and governed AI workflows that enable delivery pods to produce high-impact outcome-based documentation at scale.
Key Responsibilities
1. Outcome-Based Strategy & Framework Design
Design and implement a universal framework for outcome-based documentation that aligns with customer personas and real-world journeys.
Develop modular content models (the Lego approach) that allow documentation components to be reused across different products and integration patterns.
Harmonize cross-product integration documentation to ensure a seamless end-to-end user experience.
2. AI Enablement & Governance
Design and operationalize governed AI documentation workflows that assist writers in drafting flagging inconsistencies.
Develop a knowledge grounding strategy (RAG) to ensure AI-generated responses (e.g. via AI Agents) are high-accuracy and contextually relevant.
Lead efforts in terminology alignment and taxonomy management to improve AI retrieval precision.
3. Operational Rigor & Impact Measurement
Establish a robust measurement framework to track the impact of documentation on support ticket deflection.
Define and monitor key performance indicators (KPIs) such as flow completion rates case-to-doc ratios.
Collaborate with Support Customer Success and Product Management to create a field-to-doc feedback loop that proactively identifies content gaps.
4. Cross-Functional Leadership
Act as a consultant to product-based delivery pods providing them with the templates and tools needed to transform content into structured AI-ready assets.
Establish processes for continuous improvement measurement and optimization of content performance for AI agents.
Qualifications :
Solid understanding of the cybersecurity landscape with deep familiarity with Identity & Access Management (IAM) including SAML OIDC SCIM and MFA enforcement.
Proven ability to design Information Architecture (IA) metadata schemas and structured content models.
Background in Technical Support Pre-sales or similar customer-facing technical roles with a clear understanding of real user pain points and how content can reduce friction and drive support deflection.
Hands-on proven experience working with AI systems including prompt design prompt iteration and optimizing content for AI consumption (RAG copilots semantic search). Ability to think in terms of how content is retrieved interpreted and generated by AI.
Extensive experience in technical writing for complex enterprise environments with a strong focus on structured and modular content (not narrative or blog-style writing)
Comfortable leading end-to-end content transformation initiatives from identifying gaps to defining standards and driving adoption across teams.
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Remote Work :
No
Employment Type :
Full-time
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity human or machine across business applications, distributed workforces, hybrid cloud workloads a ... View more