AI Development Group Manager

2 Months ago • All levels
Research Development

Job Description

CyberArk is seeking an experienced Development Group Manager to lead their AI Agents Development Group within the Data, AI & Research department. This role involves driving innovation in conversational and Agentic technologies. Responsibilities include recruiting and managing AI engineers and architects, guiding the development of Agentic and conversational solutions, overseeing the AI solution lifecycle from data acquisition to continuous improvement, and implementing data-driven decision-making. The manager will also establish quality measurements for AI model performance, collaborate with product management on the AI roadmap, and ensure compliance with AI governance, security, and ethical principles.
Must Have:
  • Lead and mentor AI engineering teams
  • Oversee full AI solution lifecycle
  • Implement data-driven decision making
  • Establish AI model quality measurements
  • Collaborate on AI roadmap
  • Ensure AI governance and ethics

Add these skills to join the top 1% applicants for this job

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About CyberArk:
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 and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on X, LinkedIn or Facebook.

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.  

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