Content Strategy & AI Enablement Specialist
CyberArk · Petah Tikva, Center District, Israel
- On site
- Full-time
- $110,000 / year
- Petah Tikva, Center District, Israel
Job highlights
- Design knowledge systems for AI retrieval.
- Build a future 'content factory'.
- Implement outcome-based documentation framework.
- Improve AI accuracy with RAG strategy.
- Lead cross-functional content initiatives.
About the role
About CyberArk
CyberArk, a Palo Alto Networks company, is the global leader in identity security, trusted by organizations around the world to secure human and machine identities in the modern enterprise. CyberArk’s AI-powered Identity Security Platform applies intelligent privilege controls to every identity with continuous threat prevention, detection and response across the identity lifecycle. With Identity Security, organizations can reduce operational and security risks by enabling zero trust and least privilege with complete visibility, empowering all users and identities, including workforce, IT, developers and machines, to securely access any resource, located anywhere, from everywhere. Learn more at cyberark.com.
Job Description
As a Content Strategy & AI Enablement Specialist, you will not own a single product’s 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 future—designing the frameworks, taxonomies, and governed AI workflows that enable delivery pods to produce high-impact, outcome-based documentation at scale.
Key Responsibilities
- 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.
- 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.
- 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.
- 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.
Key skills/competency
- Content Strategy
- AI Enablement
- Information Architecture
- Technical Writing
- RAG (Retrieval-Augmented Generation)
- Taxonomy Management
- Cybersecurity
- Identity and Access Management (IAM)
- Structured Content
- Prompt Engineering
Skills & topics
- Content Strategy
- AI Enablement
- Technical Writing
- Information Architecture
- RAG
- Cybersecurity
- IAM
- Structured Content
- Prompt Engineering
- Taxonomy Management
- Specialist
How to get hired
- Tailor your resume: Highlight experience in AI, content strategy, and cybersecurity, specifically IAM.
- Showcase AI expertise: Detail your experience with prompt design, RAG, and optimizing content for AI.
- Demonstrate IA skills: Emphasize your ability to design information architecture and structured content models.
- Address customer needs: Explain how your technical support background informs content creation for support deflection.
- Prepare for technical interviews: Be ready to discuss your approach to AI-driven content systems.
Technical preparation
Master AI prompt engineering techniques.,Understand RAG and semantic search principles.,Design structured content models.,Familiarize with IAM protocols.
Behavioral questions
Describe a complex content transformation project.,How do you measure documentation impact?,How do you collaborate with cross-functional teams?,How do you ensure AI content accuracy?
Frequently asked questions
- What is CyberArk's approach to AI in documentation?
- CyberArk is transforming its documentation into a modular, workflow-driven knowledge system optimized for AI retrieval using RAG. The Content Strategy & AI Enablement Specialist will be instrumental in designing these AI-enabled workflows and ensuring high-accuracy, contextually relevant AI-generated responses.
- What does 'outcome-based documentation' mean at CyberArk?
- Outcome-based documentation focuses on aligning content with customer personas and their real-world journeys. This involves designing modular content components that can be reused across products to provide a seamless, end-to-end user experience, rather than just describing features.
- What specific AI technologies are relevant for this role?
- The role requires hands-on experience with AI systems, including prompt design, prompt iteration, and optimizing content for AI consumption through RAG, copilots, and semantic search. Understanding how content is retrieved, interpreted, and generated by AI is crucial.
- What is the expected experience in cybersecurity for this role?
- A solid understanding of the cybersecurity landscape is essential, with deep familiarity in Identity & Access Management (IAM). This includes knowledge of protocols and concepts like SAML, OIDC, SCIM, and MFA enforcement.
- How does this role contribute to support ticket deflection?
- A key responsibility is establishing a measurement framework to track the impact of documentation on support ticket deflection. The role involves collaborating with support teams to create feedback loops that proactively identify content gaps, thus reducing friction and support load.
- What type of content writing experience is most relevant for this Content Strategy & AI Enablement Specialist role?
- Extensive experience in technical writing for complex enterprise environments is required, with a strong focus on structured and modular content. This is distinct from narrative or blog-style writing, emphasizing reusability and AI readiness.
- What does it mean to act as a 'systems architect' for documentation at CyberArk?
- Instead of owning a single product's documentation, this role acts as an organization-wide systems architect. It involves designing the overarching frameworks, taxonomies, and AI workflows that enable various delivery pods to create scalable, high-impact documentation.