AI Development Group Manager
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(NASDAQ: ), is the global leader in . 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 and throughout the DevOps lifecycle. The world's leading organizations trust CyberArk to help secure their most critical assets. To learn more about , visit our CyberArk or follow us on , or .Job DescriptionCyberArk 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