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As an innovator at heart, you will lead the Email Security Research team and shape the future of AI-driven email protection. You will define the technical vision, drive the research roadmap, and lead a team developing advanced detection capabilities. Working closely with Engineering, Product, Threat Intelligence, and AI teams, you will build cutting-edge security solutions that protect customers against evolving email threats while fostering innovation and technical excellence.
Key Responsibilities
Lead, mentor, and grow a team of Email Security researchers and analysts.
Define and execute the Email Security research, detection, and analytics roadmap.
Drive innovation in AI and LLM-powered email security.
Lead the design of advanced detections for phishing, Business Email Compromise (BEC), malware, account takeover, and emerging email threats.
Improve detection efficacy through behavioral analytics, threat research, and large-scale data analysis.
Collaborate with Engineering, Product, Threat Intelligence, and cross-functional teams to deliver scalable security capabilities.
Promote technical excellence through design reviews, coaching, and knowledge sharing.
Represent the team internally and externally through technical presentations, blogs, white papers, and industry conferences.
Foster a culture of innovation, collaboration, and continuous learning.

The Enterprise Browser Platform, developed by Talon Cyber Security, plays a critical role in today's digital landscape by enabling secure and efficient remote work. Its capability to protect unmanaged devices lets users work from anywhere confidently, meeting the growing need for flexibility and security in the modern workplace.
As a DevOps Engineer within the Enterprise Browser Platform Group, a division born from the acquisition of Talon Cyber Security, you will contribute significantly to a cutting-edge environment. Your expertise will be pivotal in developing and operating our modern technology stack, which includes:
AWS & GCP as cloud providers
Terraform & Terragrunt for Infrastructure as Code
Microservices architecture over Kubernetes
ArgoCD and GitOps practices
Datadog as the observability platform
You will ensure the continuous delivery, quality, performance, and reliability of our enterprise browser platform.
Your Impact
Implement and optimize CI/CD pipelines and cloud infrastructure using our technology stack, ensuring efficient and reliable deployment to production.
Participate in the deployment of monitoring and alerting systems to maintain high system performance and reliability.
Collaborate with software development and other cross-functional teams to streamline and enhance processes, aiming for efficiency and alignment with business goals.
Contribute to the management of the cloud infrastructure, utilizing Infrastructure as Code principles.

We are looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers.
The Data Center Engineering Operations Facility Engineer is responsible for operating and maintaining all electrical, mechanical, and fire/life safety equipment within the data center. This person serves as a technical resource to support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. DCEO Facility Engineers are also tasked with driving innovation while reducing operational costs in the facilities.

DCEO Facility Engineers are Amazons front line responders for hands-on electrical and mechanical equipment troubleshooting and operation. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers, cooling towers, chemical treatment systems, pumps, motors, VFDs, and building automation systems.


Key job responsibilities
- Operate and maintain mechanical and electrical equipment.
- Perform root cause analysis of equipment failures.
- Troubleshooting of facility and rack-level events within internal SLA.
- Ensure all safety procedures are adhered to while performing work.
- Able to work shifts (rotating work days during the weeks).
- Take daily operational readings of all mechanical and electrical equipment.
- Utilize internal CMMS to manage building workflows.

Required Senior Product Manager (XSIAM SIEM)
Job Summary
As a Senior Product Manager for the XSIAM SIEM team, you will play a critical role in leading a major domain within the Cortex ecosystem. We are seeking a candidate with a leader mindset, someone prepared to take total ownership and responsibility for a critical product area that directly contributes to the global success of XSIAM. In an environment of fierce competition, you will be expected to drive our product strategy by deeply understanding how to deliver superior value within the broader XSIAM platformization vision.
Key Responsibilities
Total Domain Ownership: Lead the end-to-end product lifecycle for a major SIEM pillar. You are responsible for the strategic vision, sequencing scope, and removing blockers to ensure predictable, high-quality delivery.
Platformization & Competitive Value: Drive the shift from siloed legacy tools to a converged security platform. Utilize a Human+AI approach to research competitor strategies, identifying unique value drivers that ensure XSIAM remains the definitive choice for modern SOCs.
Customer & Stakeholder Engagement: Act as a primary liaison to our most significant global customers. You will meet regularly with security leaders and key stakeholders to understand complex operational challenges and translate them into high-impact product innovations.
​​Cross-Functional Collaboration: Serve as the central bridge between peer product teams, engineering, sales, and domain consultants. You will equip global field teams with crisp value narratives to uplift win rates, accelerate market adoption and global go-to-market initiatives.
Advanced AI Roadmap: Own a forward-looking roadmap that integrates agentic AI into the SIEM workflow, ensuring our customers to automate threat detection and response at an unprecedented scale.

Required Senior Principal Data Scientist - LLM Agents (Cortex)
Job Summary:
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Senior Principal Data Scientist, you will be a technical leader and hands-on architect, bridging the worlds of advanced data science, robust software engineering, and next-generation AI. You will bring a deep, diverse background in classical machine learning algorithms alongside cutting-edge LLM agent architectures to build resilient, production-grade defense techniques against cyber-villains. Operating as a premier technical authority, you will drive the vision, design, and large-scale development of our groundbreaking, Agentix LLM-based security solutions that block attacks even before they begin.
Key Responsibilities:
Serve as a hands-on technical compass for a diverse, elite product-oriented research team, pioneering state-of-the-art technologies and setting the engineering standards for AI/ML excellence across the organization.
Design, implement, and optimize robust Agentic LLM solutions and multi-agent workflows engineered to autonomously counter modern, sophisticated cyber threats.
Oversee and actively contribute to the entire end-to-end lifecycle, moving seamlessly from ambiguous research concepts and POCs to high-throughput, low-latency production deployments.
Build and enforce comprehensive frameworks for continuous real-time monitoring, evaluation, and guardrails to track model drift, latency, and agent behavior in production environments.
Decompose highly complex, multi-layered algorithmic problems into actionable technical roadmaps and strategic insights for both deeply technical engineers and executive business stakeholders

We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.

Join a team redefining cloud security operations across Cloud Detection & Response (CDR) and Cloud Security Posture Management (CSPM). Our team operates at the intersection of security, engineering, and large-scale cloud operations. We build products that help organizations detect threats faster, respond with confidence, continuously reduce risk, and secure modern cloud environments at scale. This is an opportunity to help shape the future of autonomous cloud defense by building technology that turns security signals into meaningful action.
Key Responsibilities
Help build the next generation of the Autonomous Cloud SOC by transforming detections, posture findings, and emerging threats into intelligent investigation and response workflows.
Design and build automated playbooks that investigate security signals, gather evidence, assess blast radius, validate risk, and guide or execute response actions.
Work across cloud control planes, identity systems, Kubernetes environments, network telemetry, and posture data to turn signals into high-confidence outcomes.
Leverage existing detections, continuously improve investigation logic, and ensure response workflows remain effective as cloud environments and attacker techniques evolve.

As the Director of Product Management for Cortex XDR, you will take the helm of our industry-leading endpoint security platform. Cortex XDR is responsible for helping customers secure their devices and workloads across their endpoint and cloud environments, stopping advanced threats before they compromise the organization. Endpoints and cloud infrastructure are the foundational attack vectors for modern adversaries.
We are looking for a strategic, decisive leader who can design, build, and ship industry-defining products to help SOC teams protect their organization's most valuable assets. You will drive the platform's vision, align cross-functional teams, and ensure our products continue to deliver top-tier threat detection and prevention capabilities.
Your Impact
Lead and mentor a high-performing product management group, driving the entire product lifecycle from ideation to launch.
Define and own the product roadmap for Cortex XDR, ensuring alignment with the broader Cortex strategy and Go-To-Market (GTM) motions.
Bring innovative, disruptive approaches to endpoint security, prioritizing features and making critical trade-offs to deliver a world-class platform.
Collaborate closely with engineering, UX/UI design, marketing, and sales teams to drive product development and execute seamless launches.
Engage directly with key customers and partners to understand their pain points, gather feedback, and take the solutions you define to market.
Establish key performance indicators (KPIs), track product performance, and drive operational rigor across the product portfolio.
Evangelize Cortex XDR internally and externally, serving as a thought leader at industry events and executive briefings.

In this role, you will be dedicated to safeguarding our clients data within the dynamic cloud landscape. As an expert in Data Security Posture Management (DSPM) for SaaS and DBaaS, you will develop cutting-edge solutions for data discovery, classification, and protection across platforms like Snowflake, Databricks and MongoDB Atlas. Your work will focus on proactively identifying and eliminating risks, ensuring our clients' sensitive information remains secure, compliant, and accessible only to authorized users, empowering them to grow their business securely.
Key Responsibilities
Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment.
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution.
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives.
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements.
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise.
Design and build highly scalable, resilient, and secure cloud-based applications and microservices.
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently.

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.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

Your Career:
The Cortex Content team powers Palo Alto Networks security operations platforms (XSIAM/XSOAR) by building the essential integrations, data connectors, and intelligence layers that protect our customers.
We are looking for a Senior Software Engineer who is passionate about AI and automation to help scale our content ecosystem. In this role, your focus will be leveraging AI to accelerate the delivery, quality, and quantity of our security integrations and content infrastructure. You will design and develop intelligent tools and workflows that enable engineering peers and Technical Program Managers (TPMs) to scale their output, collaborating with them as they test, adopt, and integrate these solutions into our development lifecycle.
Your Impact:
Scale Content Delivery: Design and implement AI-driven systems that empower the team to significantly increase both the quantity and the rigorous quality of our security integrations.
Develop Cross-Functional Tooling: Build internal developer tools and agentic workflows that enable other engineers and TPMs to streamline content creation, validation, and management.
Optimize Workflows: Create reliable CI/CD pipelines incorporating AI agents to automate code generation and testing processes.
Support Team Adoption: Collaborate with engineering peers and cross-functional partners as they test and integrate your tools into their daily workflows, using their feedback to drive continuous improvements.
Contribute to AI Integration: Help lead the practical integration of LLMs and automation frameworks into our day-to-day engineering processes.

We are seeking a Product Design Manager to lead, mentor, and inspire a team of talented designers while actively contributing to the design of core product features. In this role, you will manage experienced product designers to solve complex user experience challenges through innovative, streamlined flows and polished aesthetics. You and your team will be responsible for leading the entire design lifecycle, from early research and conceptualization to delivering pixel-perfect designs ready for development.
Key Responsibilities
Lead, coach, and grow a team of talented UX/UI designers, fostering a collaborative and high-performing environment.
Proactively collaborate and partner with product managers and engineers to shape product strategy and define the user experience for Cortex XSIAM.
Contribute directly to feature design and product development, serving as a hands-on design leader.
Own and continuously improve the team's design process, from initial research and conceptualization through execution and delivery.
Help maintain and evolve design systems to ensure consistency, quality, and efficiency across the product suite.
Advocate for user-centered design principles and best practices, ensuring the user's voice is present in all product decisions.
Review design deliverables and provide clear, constructive feedback to ensure high-quality outcomes.
Actively participate in recruiting, onboarding, and developing design talent to grow the team's capabilities.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

We are looking for a Linux Low Level Security Research group manager for our Tel Aviv R&D center. You will manage and lead a group that is responsible for researching the most recent Malwares, Kernel mitigations, EBPF, vulnerabilities, exploits and advanced cybersecurity threats, as well as designing, developing and improving our Linux Agent ability to protect against different threats. The position includes researching Linux internals, Reverse engineering, malware analysis, vulnerability analysis, diving into internals of the Linux kernel and user-mode code, java, javascript and more. The group consists of two Linux Low Level researcher teams.
Key Responsibilities:
Leading the existing employees as well as hiring future employees to join your group.
Be a thought leader around Linux detection and protection; designing, planning, and improving our anti-exploit, as well as anti-malware detection and prevention capabilities.
Lead the rapid response and find ways to prevent new critical vulnerabilities and malware.
Figure out different ways to generally catch entire bug-classes or exploitation building blocks to prevent exploits.
Respond to different breach and security events arriving from customers.
Stay up to date with current vulnerabilities, exploitation techniques and malware.