SeniorFull TimeEN
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.
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CyberArk is looking for a Platform Manager, AI Transformation to lead our strategic transition into an AI-native engineering organization. In this high-impact role, you will establish and lead the AI Platform Enablement Team, turning AI from isolated experimentation into a scalable, secure, and standardized engineering capability.
You will be responsible for defining how engineers collaborate with AI agents, introducing autonomy safely, and building reusable AI foundational capabilities. This role combines technical leadership in platform engineering with AI systems thinking and organizational enablement. You will balance the speed of innovation with essential safety, security, and reliability standards.
The team works in full collaboration with cross-functional engineering groups to embed AI into daily development and operations workflows. We are looking for a hands-on technical leader who can design complex systems and also get into the details when needed to turn ambiguous ideas into production-grade capabilities.
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8+ years of experience in software engineering, with a strong background in platform engineering, infrastructure, or distributed systems.
Proven track record of building internal platforms used by multiple teams and driving cross-team adoption of new technologies.
Hands-on experience with LLMs, AI agents, or AI-assisted development tools for real-world production services.
Strong understanding of prompt engineering, agent workflows, and establishing evaluation and guardrails for AI systems.
Experience in technical leadership, including leading cross-functional teams and aligning groups around engineering standards.
Excellent communication skills with the ability to influence senior stakeholders and educate engineers.
Data-driven mindset with experience creating and measuring KPIs to increase team velocity.
Ability to define and execute strategy, translating a high-level vision into a clear roadmap and execution plan.
Core Platform Delivery: You will own foundational capabilities including Service-Level AI Agents, AI-assisted incident management, and AI Developer Agents for PR creation and refactoring.
Infrastructure & Governance: Responsibility for the AI Control Plane / MCP Infrastructure, ensuring secure, auditable interfaces with clear permission boundaries.
Enablement: Experience rolling out training programs (e.g., Cursor, Claude Code) and certification frameworks to turn AI into a first-class engineering skill.
Safety & Observability: Expertise in designing systems with human-in-the-loop controls, auditability, and cost control standards.
Continuous Learning: Ability to build mechanisms that improve AI systems using feedback loops from code reviews, incidents, and developer feedback.
