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Principal Security Researcher (Cortex - AgentiX)
Job Summary:
As a Principal Security Researcher , you will act as an architect for the Autonomous SOC, focusing directly on Cortex AgentiX. You will design and build intelligent, automated investigation and remediation agents that empower thousands of customers to secure their environments at scale.
We are looking for a practitioner who combines deep hands-on expertise investigating threats and protecting organizations with a pragmatic approach to solving complex security challenges.
Key Responsibilities:
Develop in-product specialized agents to accelerate detection, respond to real-time threats, prioritize, and mitigate risks.
Establish guardrails, continuous evaluation metrics, and deterministic controls for agentic AI, ensuring complex multi-step plans execute reliably.
Drive the complete product development lifecycle, encompassing definition, design, implementation, and testing phases.
Partner cross-functionally with product management, engineering, and research teams.

We are looking for a passionate and skilled software engineer to join our Cortex XSOAR Content R&D group. You will develop new solutions that will transform the future of security orchestration and automation around the globe, specializing in Python programming.
You will be responsible for the design, implementation, delivery, and quality of our services in an Agile environment.
Furthermore, you will be collaborating with global tech, product, and security research teams, interfacing with other groups around the globe, and joining a rapidly growing Cybersecurity community.
Your Impact:
Taking a leading role in the design and implementation of the content layer of the market leader SOAR platform.
Setting high-quality standards, seeking and choosing technical solutions to meet current and future needs.
Providing technical leadership and guidance, including design and code reviews.
Being accountable for product delivery, quality, and timelines.

Required Director Software Engineering- CWP (Cortex Cloud)
Job Summary
As a Director of Engineering at Cortex Cloud, you will lead an engineering group of approximately 25 engineers operating in one of our most complex and cross-functional domains, focused on building KSPM (Kubernetes Security Posture Management) and CNS (Cloud Network Security).
This highly technical group works closely with some of the largest companies in the US across various domains.
This role requires a strong blend of strategic leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures.
You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring your teams execute against the roadmap with both speed and engineering rigor.
Key Responsibilities:
Build, mentor, and lead high-performing backend engineering teams, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic enterprise customers-including some of the largest companies in the US-to lead technical deep dives, review architecture, and influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

Required Sr/Principal Engineer Software - AI Transformation (Cortex Cloud)
Job Summary:
Get ready to shape the future of software development! You'll be joining a pioneering team building our revolutionary, internal agentic AI tool. This isn't just another product; it's our solution for increasing developer productivity through advanced vibe coding using state-of-the-art LLM models.
We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of our own engineers. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Key Responsibilities:
Drive the development of sophisticated, AI-powered features end-to-end, from ideation and technical design to seamless deployment in production.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers, ensuring enterprise-grade quality and reliability.
Obsess over the developer experience, passionately enhancing the user experience (UX) of the product's features to create an intuitive and powerful tool.

Required Staff AI Support Engineer (AgentiX Support - Cortex)
Your Career
Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications?
Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (Co-Pilot). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity.
Your Impact:
Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions.
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability.
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps.
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source.
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development.

We are seeking a visionary Sr. Principal Backend Engineer to shape the future of our Cortex platforms. In this highly impactful role, you will act as a technical pioneer and an architectural challenger for our leading-edge security orchestration, automation, and response platform.
Bringing an entrepreneurial mindset and a deep understanding of the competitive business landscape, you will critically evaluate our core systems, champion system quality, and drive rapid prototyping (POCs) for innovative AI-based solutions. This is an exceptional opportunity for a seasoned technologist-perhaps a former founder-who wants to keep their hands in the code while shaping our strategic direction and pushing the boundaries of AI-driven cybersecurity.
Your Impact:
Challenge the Architecture: Bring a fresh, external perspective to critically evaluate our core systems and drive uncompromising standards for quality and resilience.
Prototype & Innovate (POCs): Keep your hands in the code by rapidly prototyping GenAI integrations and evaluating new models before they are scaled by the broader team.
Think Like a Founder: Deeply understand our business, competitive landscape, and market trends to ensure technical decisions drive real business value.
Industry Presence: Stay ahead of the curve by actively engaging with the broader tech community, tracking trends, and attending industry conferences.
Lead & Elevate: Guide cross-functional teams, lead high-level design reviews, and elevate our engineering culture through technical mentorship.

Required Domain Consultant (Pre Sales) - Idira
Job Summary
Your Impact:
Execute full ownership over the technical trajectory of assigned product-specific opportunities, securing the Technical Win autonomously.
Define and execute customized, deep-dive technical demonstrations autonomously, finalizing the Design of Record (DoR) to bridge the gap between discovery and implementation.
Orchestrate internal resources autonomously to unblock lifecycle obstacles and resolve stalled proof-of-value projects through proactive design validation.
Maintain high execution velocity and resilience when faced with shifting parameters or technical roadblocks during complex POVs.
Define and pursue a rigorous path of technical fluency across assigned subdomains, utilizing product sandboxes and labs autonomously.
Guide customer decisions independently by defining the direct connection between technical solutions and business-critical security outcomes to favor platformization.
Define the technical vision for our customers as a high-impact driver of corporate strategy by modeling concrete ROI to displace fragmented competitors.
Drive alignment with internal stakeholders by coordinating engagements based on assigned TRRs and maintaining consistent data hygiene to reflect team impact.

We are looking for a seasoned SW Engineering Manager to join the Idira R&D platform organization. In this role, you will lead the team responsible for the Idira SaaS micro-frontend (MFE) platform and the critical services that handle API access to Idira services.
You will manage a high-performing team of engineers, combining hands-on technical leadership with strong execution. Your team owns services that are crucial to any customer interaction with Idira services whether it is UI or API access.
Key Responsibilities:
Lead and Mentor: Grow a high-performing team of engineers; foster a collaborative environment and support professional development through mentoring and technical guidance.
Own Platform Execution: Drive the development of new features and capabilities that will allow PANW customers to have secure access to our continuously growing portfolio of Cyber Identity solutions.
Drive AI adoption: We started our journey to become an AI first engineering organization. As a leader you will help your team continue this journey.
Engineering Excellence: Maintain a high bar for quality, performance, and scalability. Oversee end-to-end delivery from design and implementation to production monitoring and support.
Stakeholder Management: Communicate progress, risks, and capability roadmaps clearly to management and partner teams. Maintain the capability matrix for Idira integrations.

Required Engineering Software Manager (Cortex Cloud)
Job Summary:
As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities:
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

Required Sr. Principal AI Researcher, AI Transformation
Job Summary
Shape the future of AI-powered software engineering. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities:
Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques.
Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling.
Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence.
Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions.
Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
Collaborate with core AI engineering to transition validated prototypes into reusable components for our engineering workforce.
Coordinate closely with the US Foundational AI Research team via flexible evening Israel / morning US meetings.

we are looking for a AI Researcher.
As an AI researcher, you'll be at the forefront of researching advanced frontier model capabilities and agent behavior, and help shape the future of AI security evaluation and mitigation. In this role, you will advance the frontier knowledge of AI and agentic frameworks, methods of assessing their ability, and mitigations for dangerous capabilities.
Representative projects:
Researching capability elicitation methods to enhance model performance in evaluations.
Researching methodologies to assess generalization and coverage in model capabilities evaluation frameworks.
Contributing to academic publications and delivering research findings to customers.
Creating unique solutions to mitigate scenarios of AI loss of control or misalignment.
Advising and supporting the development of the products were building.

we are looking for a Cyber Researcher.
As a cyber researcher , you will be at the forefront of research on AI security. You will engage with questions such as how to protect the weights of an advanced model against cyber threats, and how to evaluate cyber capabilities such as AIs ability to exploit vulnerabilities, carry out network attacks, and develop malware. This role sits at a unique intersection of cybersecurity expertise and AI capabilities, where your background in vulnerability and security research will help shape the future of AI security.
Representative projects:
Expanding the quantity, quality, and variety of our cyber capabilities evaluation challenges (e.g. constructing original CTF-style vulnerability & exploitation challenges, network attack simulation challenges, and more, including original types of challenges).
Leading research into methods to mitigate cybersecurity risks related to the misuse of AI, the theft of model weights, or risks associated with integrating models with dangerous capabilities in AI agents.
Publishing your research and/or delivering research to our customers.
Advising and supporting the development of the products were building.

we are looking for a Research Engineer
As a research engineer , you'll be at the forefront of building systems to evaluate and secure frontier AI models. You'll work on infrastructure and experiments to assess model capabilities, implement agent frameworks, and develop mitigations for advanced AI systems. Your role will involve creating robust evaluation pipelines, developing security-focused testing frameworks, and building tools that help understand and mitigate risks related to frontier models. Youll have a chance to understand the research context and your codes impact and contribute as a meaningful part of a growing team.
Representative projects:
Building a tool to continuously evaluate models and mitigate their risks. From designing the APIs for frontier labs, to building analysis and visualization tools that summarize 10,000+ transcripts into specific conclusions.
Designing and building challenges that measure a models ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools.
Developing controlled environment frameworks for more secure use of frontier models.
Designing and building agents that improve a models ability to complete complex tasks. Includes many potential avenues, such as incorporating SOTA prompting practices, creating tools for task delegation, and more.
Publishing your research and/or delivering research to our customers.