Software Engineering Manager - AI-Native (Cortex XSOAR & Agentix)

We are looking for an Engineering Manager to lead the frontend development of the XSOAR & Agentix team within the Cortex Platform. You will be joining a fast-moving group developing advanced solutions in one of our companys most innovative and technically complex areas.
We are not just looking for a standard engineering manager. We are seeking an AI-Native leader - someone who lives and breathes AI, combines hands-on technical depth with managerial excellence, and knows how to wield AI as a massive force multiplier for their team.
Responsibilities
AI-Driven Team Leadership: Lead, mentor, and grow a team of frontend engineers. You will embed AI-first coding methodologies into the team's DNA, moving beyond basic usage to systemic adoption of automated testing, intelligent code reviews, and code generation.
Technical Strategy: Drive the frontend architecture for our Automation platform.
You will oversee the design of complex interfaces that manage advanced playbooks and automated incident response workflows.
Accelerated Delivery and Quality: Drive the timely achievement of roadmap goals. Utilize AI coding assistants and cutting-edge workflows to dramatically quicken delivery while simultaneously boosting architectural integrity and code quality.
Cross-Functional Collaboration: Partner closely with Product Management, UX, and Backend engineering to translate complex security automation requirements into intuitive, seamless user experiences.
The AI-Native Leadership Profile
Visionary and Strategic Execution
You possess a clear, forward-looking thesis on how AI will transform software engineering over the next 2-3 years, and you are adept at executing against this vision.
Practical AI Implementation
You are a builder, not just a user: you have successfully designed and implemented AI-driven development workflows that your previous teams actively adopted.
Continuous Experimentation
You are an active experimenter, constantly testing new AI tools, LLMs, and prompt engineering techniques, and integrating the best of them into daily engineering operations.