Manager, SW Engineering (CORA AI)

Our Mission

At Palo Alto Networks®, we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

• Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
• Own team execution: sprint planning, priorities, delivery commitments, and production support.
• Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
• Maintain a clear capability matrix and roadmap across multiple agents and integrations.
• Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
• Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

• Strong software engineering background with experience in AI/ML and LLMs; preferably agent-based systems.

• At least 3 years of team leadership experience, including mentoring, guiding execution, and managing deliverables.
• Track record of shipping complex projects and supporting production systems in a fast-paced environment.
• Excellent organizational and communication skills; able to manage multiple parallel efforts and maintain visibility across projects.
• Experience with cloud environments, modern development practices, and production monitoring tools.
• BSc in Computer Science or similar.

• Experience developing or maintaining AI agents or LLM-based systems.

• Ability to balance hands-on engineering with people leadership.
• Demonstrated ability to manage multi-stream execution with clarity and structure.