Cyberark AI Development Group Manager 

Israel 

210039977

:

CyberArk is looking for an experienced and highly motivated Development Group Manager to lead our AI Agents Development Group under the Data, AI & Research department.
This role offers an opportunity to drive innovation and spearhead cutting-edge conversational and Agentic technologies within a global leader in security. You will be responsible for recruiting and managing a world-class team of AI engineers and architects, guiding the development of Agentic and conversational solutions that enhance CyberArk’s products and services.

• Leading and mentoring several teams of AI engineers, fostering their technical excellence and innovation.
• Overseeing the full AI solution lifecycle, including data acquisition, model selection, fine-tuning and usage, evaluation, and continuous improvement.
• Implementing a data-driven decision-making approach to ensure AI solutions align with business goals and deliver measurable impact.

• Establishing numerical quality measurements to track and improve AI model performance and effectiveness, as well as adoption and satisfaction.

• Collaborating with product management and the field to define the roadmap for Agentic AI capabilities and ensuring alignment with business objectives.

• Improving and complying with best practices for AI-related governance, security, and ethical principles.

• At least 5 years in managerial (group manager or above) roles preferably with experience in NLP / Generative AI / LLMs / Agents
• Hands-on experience with AWS or other cloud platforms
• Strong analytical skills with a focus on quantifiable model evaluation and continuous improvement
• Excellent communication and leadership skills, with the ability to drive a data-driven and innovative culture and collaborate with multiple R&D teams
• A proactive, problem-solving mindset with the ability to execute in a fast-paced and a dynamic environment

How you will stand out from the crowd:

• Experience in cybersecurity and AI-driven security solutions

• Strong understanding of NLP, LLM and their fine-tuning, and AI model optimization techniques, Agentic architectures and frameworks, MCP.

• Familiarity with AWS services (SageMaker, Bedrock, Lambda, etc.)

• Experience in Agile methodologies and CI/CD pipelines for AI development

• A track record of publications or contributions to the AI research community