דרושים Hr Ai Process Optimization Lead ב-Palo Alto ב-ארהב

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Collaborate with product managers, cybersecurity researchers, AI application researchers and infrastructure software engineers
• Design and build an innovative and solid products to ensure our customers can use AI service securely
• Participate in all phases of the product development cycle, from definition, design, through implementation and test
• Implement real-time security services to customers
• Work with PLM on new feature requirement
• Work with QA and DevOps on new release deployment

Your Experience

• Solid golang/python programming skills
• Solid knowledge on HTTP 1.1/HTTP2 protocols and gRPC
• Profound knowledge on web service proxy technology especially on envoy and web assembly
• Experience in designing large distributed system and web services in the cloud
• Deep knowledge in GCP platform is a plus
• Familiar with major CSP LLM foundation models is a plus
• The candidate should be a good problem solver
• Master's degree in computer science or equivalent or equivalent military experience required

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

In this role, you will work with cutting edge technology, redefining the future of Network security.

Your Impact

• Technical Marketing Strategy: Develop, continuously refine, and execute the technical marketing plan for critical accounts to drive engagement and sales

• Content Creation: Create, maintain, and deliver effective technical tools, whitepapers, demos, videos, and technical training for sales teams, customers, and partners

• Automation Leadership: Lead automation initiatives within and across cross-functional teams, striving to achieve technical and operational excellence throughout the release process

• Competitive Analysis: Conduct competitive research and testing to identify key advantages of our product lines and effectively communicate them to sales, customers, and partners

• Technical Evangelism: Act as a key technical evangelist for Palo Alto Networks, speaking at seminars, conferences, customer briefings, and internal meetings

• Product Enhancement: Collaborate with engineering to identify product gaps based on competitive analysis and work with Product Management (PM) to drive enhancements

• Domain Authority: Serve as the domain authority on Palo Alto Networks products, providing Systems Engineers with information on competitive questions

• Sales Support: Identify sales challenges arising from competitive situations and provide viable solutions

• Technical Documentation: Document technical concepts to ensure our products are well understood and utilized to their fullest potential

• Competitive Lab Setup: Set-up and maintain a competitive test lab, including test harness, competitive products, and automation environment

• Product Testing: Configure and test competitive products, evaluating their strengths in security efficacy and product features

• Customer Focus: Maintain a passion for the customer journey, user experience, and usability with a knack for simplicity

Your Experience

• Experience: 8+ years of experience as a Technical Marketing Engineer in the network/cybersecurity field or as a DevOps/Solution Architect, preferably for networking or SD-WAN

• Technical Proficiency: Networking, Routing, Switching, Automation experience working with APIs, AI tools, Virtualization, Cloud Infrastructure knowledge: GCP, AWS, Azure, OCI is a big plus.

• Networking Knowledge: Prior experience with networking is a must.

• Agility: Ability to deliver high-quality work in an agile, fast-paced environment

• Track Record: Proven track record of creating products from concept to market success.

• User Experience Focus: Strong focus on end-user experience and data visualization tools and technologies

• Communication Skills: Excellent written and verbal communication skills, strong presentation skills, and trade show experience. Capable of communicating at both business and technical levels with internal teams, customers, partners, and executives

• Customer Advocacy: Strong customer advocacy skills with experience in handling difficult customer situations

• Initiative: Fast learner with strong initiative and a sense of ownership, committed to getting things done

• Automation Expertise: Experience with automation tools - Ansible, Terraform

• Documentation Skills: Experience in writing and editing technical documentation and operational procedures

• Knowledge in building and maintaining POC and Demo environments.

• Excellent communication, collaboration and presentation skills.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $0 - $0/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Stay abreast of the latest trends in cloud security and AI/ML
• Define product requirements and manage requirements backlog
• Run design partner programs to validate new product ideas with customers
• Partner with engineering and DevOps to deliver cloud security solutions on a SaaS platform
• Enable sales and marketing with market insights and product training
• Collaborate with customer success and field organization to delight customers
• Collaborate with other Palo Alto Networks product teams to bring integrated cloud security solutions to market with unique customer value proposition

Your Experience

• BS/MS in EE or Computer Science preferred or equivalent military experience required
• 5-7+ years of product management experience, ideally on SaaS products
• Domain experience in cloud technologies such as AWS, Azure, GCP
• Domain experience in cybersecurity
• Domain knowledge of AI/ML technologies
• Experience in managing products that deal with big data and have great UX design
• Experience in driving high-velocity product releases using Agile methodology
• Experience in building products in a hyper-growth market with rapidly changing technology and a competitive landscape
• Experience in making product decisions based on imperfect market data
• Excellent written, verbal, and interpersonal skills

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $171,200 - $276,800/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

As the Director AI Security Research, you will lead an elite team of researchers focused on discovering and mitigating novel threats against AI systems. You will be the organization's subject-matter expert on the AI attack surface, blending deep technical research with strategic leadership. Your team's work will directly shape our product strategy, inform our detection and prevention capabilities, and establish Palo Alto Networks as the definitive leader in AI security research.

Your Impact

• Lead Advanced Research: Build and mentor a world-class applied research team focused on discovering and creating proof-of-concepts for new security vulnerabilities related to AI models, AI infrastructure, and AI-driven applications.

• Drive Protection Strategy: Partner directly with engineering and product leaders to translate research findings into tangible, customer-facing security protections. Design practical, product-level mitigations to prevent novel attacks on AI systems.

• Innovate with AI: Leverage Palo Alto Networks' security leadership to derive new insights, identify emerging threat trends, and build novel AI/ML-driven detection methodologies.

• Thought Leadership: Serve as a primary AI security subject-matter expert for the company. Publish cutting-edge research through technical blogs, white papers, research papers and conference presentations, establishing industry-wide influence.

• Cross-Functional Collaboration: Work closely with product management and engineering teams to ensure our platform is protected against the threats you discover.

• Customer & Industry Engagement: Collaborate with industry partners, the open-source community, and key customers to share findings and advance the state of AI security.

Your Experience

• Education: MS or PhD in Computer Science or a related field with a focus on AI/ML or cybersecurity is highly preferred.

• Experience: 10+ years of hands-on experience in the cybersecurity research field, with at least 3+ years in a leadership or management role.

• AI/ML Expertise: Deep practical and theoretical knowledge of modern AI systems, infrastructure, and data pipelines. Proven track record of discovering security issues related to AI systems is a major plus.

• Security Acumen: Strong understanding of the attacker mindset and proven experience in vulnerability research, offensive security, or threat detection engineering.

• Communication: Excellent written and verbal communication skills, with a strong ability to articulate highly complex technical concepts and research findings to diverse audiences, including executives and customers.

• Data-Driven: Strong proficiency in data analysis and scripting (e.g., Python) and hands-on experience with query languages and databases (SQL, KQL, etc.).

Nice to Have

• A public portfolio of research, including blog posts, conference talks, research papers or vulnerability disclosures.

• Experience with cloud security (AWS, GCP, Azure) and container orchestration (Kubernetes).

• Hands-on experience in building, training, and deploying ML models in a production environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between:: $274,400 - $290/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Career

The Cortex team builds and delivers the industry’s most advanced SecOps platform, consisting of XSIAM, XSOAR, and XPANSE. As a Senior DevOps Engineer, you will be responsible for designing, building, and maintaining the infrastructure and automation that powers our large-scale cloud platform. You will work closely with engineering teams to enable fast and reliable software delivery, optimize system performance, and ensure seamless scalability.

This role requires a strong DevOps engineer who is passionate about automation, cloud infrastructure, observability, and continuous integration/deployment. You will contribute to the evolution of our infrastructure by implementing best practices in configuration management, cloud provisioning, containerization, and CI/CD pipelines.

Your Impact

• Cloud Infrastructure – Architect, deploy, and manage cloud-native solutions in Google Cloud Platform (GCP) to ensure scalability, reliability, and performance
• Automation & Infrastructure as Code – Develop Infrastructure-as-Code using Terraform, automate configuration management with tools like Ansible, and drive adoption of GitOps practices
• CI/CD Pipelines – Build, maintain, and optimize CI/CD pipelines using Jenkins, GitLab CI, or similar tools to enable rapid, reliable software delivery
• Containerization & Orchestration – Deploy and manage containerized workloads using Kubernetes (GKE preferred) and Docker, ensuring resilience and security
• Monitoring & Performance Optimization – Implement monitoring, logging, and alerting solutions to proactively identify and resolve performance issues
• Security & Compliance – Ensure security best practices are followed across infrastructure, networking, and application deployment
• Collaboration – Work closely with development teams to integrate DevOps practices, troubleshoot production issues, and improve operational efficiency
• On-Call Rotation – Participate in on-call support to maintain platform reliability and resolve production incidents

Your Experience

• 4+ years of experience in DevOps, Site Reliability Engineering, or Cloud Infrastructure roles
• Strong cloud expertise in Google Cloud Platform (preferred) or AWS
• Infrastructure as Code – Deep knowledge of Terraform, Ansible, or equivalent tools
• Proficiency in scripting/programming with Python, Go, or Bash
• Containerization & Kubernetes – Experience managing large-scale Kubernetes environments and deploying workloads in GKE, EKS, or similar
• CI/CD & Automation – Hands-on experience with CI/CD tools such as Jenkins, GitLab CI, or ArgoCD
• Linux Administration – Strong knowledge of Linux systems and shell scripting
• Networking & Security – Understanding of cloud networking, IAM, firewalls, and security best practices
• Experience troubleshooting production issues in high-scale environments
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment

If you’re excited about building scalable infrastructure, improving deployment workflows, and driving DevOps culture, we want to hear from you.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $126000/YR - $203500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Collaborate with product managers, cybersecurity researchers, AI application researchers and infrastructure software engineers
• Design and build an innovative and solid products to ensure our customers can use AI service securely
• Participate in all phases of the product development cycle, from definition, design, through implementation and test
• Implement real-time security services to customers
• Work with PLM on new feature requirement
• Work with QA and DevOps on new release deployment

Your Experience

• Solid golang/python programming skills
• Solid knowledge on HTTP 1.1/HTTP2 protocols and gRPC
• Profound knowledge on web service proxy technology especially on envoy and web assembly
• Experience in designing large distributed system and web services in the cloud
• Deep knowledge in GCP platform is a plus
• Familiar with major CSP LLM foundation models is a plus
• The candidate should be a good problem solver
• Master's degree in computer science or equivalent or equivalent military experience required

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $126000 - $204500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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

Key Responsibilities

• Value Delivery: Deliver white-glove onboarding and ongoing technical guidance for Managed XSIAM customers
• Collect and analyze customer security data to identify improvement opportunities in detection coverage, alert quality, tenant hygiene, and potential automation use cases
• Advise customers on best practices for alert tuning, data onboarding, and correlation optimization
• Drive continuous improvement in customer security posture and measurable time-to-value outcomes
• Operational Excellence: Manage incoming customer requests, prioritize effectively, and collaborate with the SOC engineering team to ensure timely, high-quality delivery
• Lead customer touchpoints, including onboarding sessions, security reviews, and proactive engagement meetings
• Translate complex detection and response concepts into actionable guidance for diverse audiences
• Collaboration & Enablement: Partner with Unit 42’s SOC engineering, Product, and MDR teams to ensure consistent service quality and cross-functional alignment
• Collaborate with the SOC engineering team to design and implement automation workflows that enhance detection, response, and reporting efficiency
• Champion customer needs internally, advocating for enhancements and escalations where needed
• Contribute to documentation, best practices, and scalable frameworks for the Managed XSIAM service

Preferred Qualifications

• 5+ years of professional experience in Customer Success, Technical Account Management, Security Consulting, Solutions Architecture, or SOC operations (preferably within enterprise cybersecurity or SaaS environments)
• Strong understanding of XDR, SIEM, and SOAR technologies, including incident and alert management, correlation development, and data source onboarding
• Demonstrated experience collaborating with security analysts, engineers, and threat hunters in operational environments
• Excellent communication skills—able to explain complex security concepts clearly to both technical and non-technical audiences
• Analytical mindset with strong problem-solving abilities and sound judgment in prioritizing tasks and managing complex customer needs
• Deep curiosity and a growth mindset—comfortable learning and adapting to evolving technologies and detection methodologies
• Bachelor’s degree in Computer Science, Information Security, or a related field or equivalent military experience

Salary Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $127600/YR - $206500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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