Team leader- SAI- Be'er Sheva

31 Minutes ago • 5 Years +
Research Development

Job Description

CyberArk is seeking a Team Leader for their SAI (Secure AI) team to build foundational infrastructure for securing AI agents. This role involves defining authentication, access control, secrets management, and audit trails for AI agents interacting with sensitive systems. The Team Lead will be responsible for building and leading a new engineering team, delivering a platform from scratch at the intersection of AI, identity, and security.
Good To Have:
  • Deep understanding of identity & access management, secrets management, or zero-trust architecture.
  • Experience with agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen).
Must Have:
  • Lead end-to-end development of a secure platform for AI agent identity and access.
  • Recruit, onboard, and mentor a high-impact engineering team.
  • Drive design and implementation of core services with focus on performance and security.
  • Enforce engineering excellence, including testing, code reviews, and secure coding.
  • Hands-on contribution to architecture, prototyping, and complex problem-solving.
  • Minimum 3 years as a software team leader in a product company.
  • Minimum 5 years hands-on development in Python, Go, Java, or C#.
  • Experience with CI/CD processes and agile development.

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Company Description

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.

Job Description

We’re building foundational infrastructure to secure AI agents — including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to modern agent frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, and beyond.

As the Team Lead, you’ll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail — you’ll also be responsible for building and leading a high-impact engineering team from the ground up.

This is a unique opportunity to be part of a start-up inside the company, delivering the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.

Responsibilities:

  • Lead the end-to-end development of a secure platform for managing AI agents’ identities, permissions, access control, and execution context.
  • Recruit, onboard, and mentor a team of engineers, shaping the team’s culture and technical direction.
  • Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
  • Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
  • Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
  • Ensure your team’s deliverables meet high standards of performance, resilience, and security in production.

Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or a related field.
  • 3+ years of experience as a software team leader in a product-based company.
  • 5+ years of hands-on development experience in at least one of the following languages: Python, Go, Java, or C#.
  • Proven experience with CI/CD processes and agile development methodologies.
  • Strong interpersonal and communication skills.
  • Demonstrated ability to manage and develop a team with varying levels of experience.
  • Skilled in identifying risks, tracking progress, and resolving technical challenges proactively.
  • Self-motivated and goal-oriented with a high work ethic.
  • Ability to balance long-term architectural vision with fast-paced delivery, especially in early-stage or startup environments.
  • Deep understanding of identity & access management, secrets management, or zero-trust architecture - Bonus.
  • Experience with agent frameworks (e.g., LangChain, LangGraph, CrewAI, AutoGen) - Bonus.

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