DevJobs

Engineering Software Manager, AI Transformation- Platform (Idira)

Overview
Skills
  • Distributed Systems ꞏ 8y
  • Infrastructure ꞏ 8y
  • Platform Engineering ꞏ 8y
  • Agent Workflows
  • AI Agents
  • AI Control Plane
  • AI-assisted Development Tools
  • LLMs
  • MCP Infrastructure
  • Prompt Engineering
  • Claude Code
  • Cursor
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!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

CyberArk is looking for a Platform Manager, AI Transformation to lead our strategic transition into an AI-native engineering organization. In this high-impact role, you will establish and lead the AI Platform Enablement Team, turning AI from isolated experimentation into a scalable, secure, and standardized engineering capability.

You will be responsible for defining how engineers collaborate with AI agents, introducing autonomy safely, and building reusable AI foundational capabilities. This role combines technical leadership in platform engineering with AI systems thinking and organizational enablement. You will balance the speed of innovation with essential safety, security, and reliability standards.

The team works in full collaboration with cross-functional engineering groups to embed AI into daily development and operations workflows. We are looking for a hands-on technical leader who can design complex systems and also get into the details when needed to turn ambiguous ideas into production-grade capabilities.

Qualifications

  • 8+ years of experience in software engineering, with a strong background in platform engineering, infrastructure, or distributed systems.
  • Proven track record of building internal platforms used by multiple teams and driving cross-team adoption of new technologies.
  • Hands-on experience with LLMs, AI agents, or AI-assisted development tools for real-world production services.
  • Strong understanding of prompt engineering, agent workflows, and establishing evaluation and guardrails for AI systems.
  • Experience in technical leadership, including leading cross-functional teams and aligning groups around engineering standards.
  • Excellent communication skills with the ability to influence senior stakeholders and educate engineers.
  • Data-driven mindset with experience creating and measuring KPIs to increase team velocity.
  • Ability to define and execute strategy, translating a high-level vision into a clear roadmap and execution plan.

Additional information

  • Core Platform Delivery: You will own foundational capabilities including Service-Level AI Agents, AI-assisted incident management, and AI Developer Agents for PR creation and refactoring.
  • Infrastructure & Governance: Responsibility for the AI Control Plane / MCP Infrastructure, ensuring secure, auditable interfaces with clear permission boundaries.
  • Enablement: Experience rolling out training programs (e.g., Cursor, Claude Code) and certification frameworks to turn AI into a first-class engineering skill.
  • Safety & Observability: Expertise in designing systems with human-in-the-loop controls, auditability, and cost control standards.

Continuous Learning: Ability to build mechanisms that improve AI systems using feedback loops from code reviews, incidents, and developer feedback.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
Palo Alto Networks