דרושים Sr Staff Researcher Web Security 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

As a Senior Technical Support Engineer, you will engage directly with our valued customers to address intricate post-sales concerns. Your role involves in-depth evaluation of multifaceted scenarios, employing critical thinking to understand methods, techniques, and evaluation criteria for obtaining results. Networking with key contacts beyond your domain of expertise will be routine, and your knack for explaining complex technical issues to both technical and non-technical professionals will be a strong asset.

Under Focused Services, you will be a designated customer advocate who will assist in providing tailored support, weekly reviews, root cause analysis for critical issues, release review and upgrade planning, and a quarterly business review. You will provide personalized support and become deeply familiar with your implementation and business priorities to proactively drive best practices and help you continuously improve your security posture.

You will actively contribute to technical discussions within cross-functional teams, fostering transparency that drives product improvement, enriches work environments, and enhances cybersecurity. Your prompt support for our clients ensures swift resolution to keep their environments secure. This requires you to move swiftly and thoughtfully, providing technical assistance even in high-pressure situations.

Your Impact

• Offer technical support to customers and partners
• Effectively manage support cases from recording to resolution, including timely follow-ups
• Conduct fault isolation and root cause analysis for technical issues
• Author Technical Support Bulletins and other technical documentation in the Knowledge Base
• Review technical content for training, marketing, manuals, and troubleshooting guides
• Travel to customer sites for critical situations, expediting resolutions as needed
• Provide configurations, troubleshooting, and best practices to customers
• Collaborate with the Engineering team to influence product operability
• Participate in weekend on-call rotation and provide after-hours support as required
• Communicate complex technical issues effectively to internal and external stakeholders
• Provide support that includes mandatory weekend, holiday shift work and on-call support. Support includes a blend of as-needed and rotational coverage, which is subject to change.

Your Experience

• Previous experience in at least one customer-facing technical support position as Senior Support Engineer or as Escalations Engineer
• Proficiency with Windows OS, Linux OS, iOS, Android OS, and macOS applications (Installation, troubleshooting, debugging), along with deployment tools (SCCM, GPO, AD, JAMF)
• Analytical troubleshooting skills in Linux, displaying problem-solving abilities
• Strong proficiency in software and infrastructure troubleshooting, testing, and debugging
• Independent troubleshooting ability in diverse, complex environments with mixed applications and protocols
• Familiarity with Internet-based technologies including DNS, Security, IP Routing, SSH, FTP, HTTP/HTTPS, Email Routing
• Familiarity with SOAR platforms - writing new and expanding new playbooks using automation and scripting tools.
• Knowledge of IP network technologies and performance monitoring/troubleshooting software tools (Datadog, Cloud Watch - advantageous)
• Intermediate knowledge of SIEM tools for parsing, correlation, data modeling, and dashboards
• Exposure to SIEM, vulnerability management tools, and firewalls
• Experience working in a collaborative, 24x7 uptime environment with on-call responsibilities
• Comfortable collaborating across diverse cross-functional teams with open communication
• Previous experience in a customer-facing technical support role (Support Engineer) - advantageous
• Fundamental understanding of Kubernetes, GCP, and AWS for troubleshooting cloud agent deployment and data extraction
• Basic scripting knowledge (JS/Python/PowerShell, SQL/XDL/SPL) to troubleshoot playbooks and extract data from various datasets (advantageous)
• A bachelor's degree in computer science or related discipline or equivalent military experience required (advantageous)

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 $108,000/YR - $162,000YR. 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

• Serve as a key contributor to the development, maturation, and innovation of Unit 42’s cloud security consulting services.

• Lead and deliver complex cloud security assessments covering architecture, configuration, identity, monitoring, and threat detection across AWS, Azure, GCP, and hybrid/multi-cloud environments.

• Evaluate cloud network architectures, including perimeter protections, VPC/VNet segmentation, API gateways, ingress/egress controls, and cloud-native security services.

• Analyze cloud logging, telemetry, and monitoring coverage; identify gaps in detection and alerting; and provide actionable recommendations to improve visibility, SIEM/XDR integration, and threat-hunting effectiveness.

• Assess cloud identity and access management (IAM) design, including federation, least privilege models, role delegation, conditional access, privilege escalation paths, and MFA enforcement across cloud providers.

• Utilize cloud-native CLIs, SDKs, and APIs to perform deep technical validation of configurations, controls, and security posture.

• Assess multi-cloud and hybrid-cloud deployments by reviewing interoperability, dependencies, and security impacts between cloud services and on-prem infrastructure.

• Develop strategic cloud security roadmaps that align technical recommendations with a client’s broader business objectives, resource constraints, and long-term security transformation initiatives.

• Integrate Palo Alto Networks cloud platforms (Prisma Cloud, Prisma SASE, Cortex XSIAM, and Precision AI) into consulting engagements to drive differentiated value and help customers enhance their security posture.

• Engage with prospective clients in a pre-sales capacity to uncover cloud security pain points, evaluate architectural weaknesses, and position Unit 42 solutions to key outcomes.

• Support delivery teams in overcoming technical objections and effectively tying cloud security recommendations to business risk, operational impact, and customer strategic goals.

• Build and maintain long-term executive relationships, serving as a trusted strategic advisor for cloud security and Zero Trust transformation initiatives.

• Lead the development and delivery of cloud security enablement content to elevate consulting capabilities across Unit 42.

• Partner with Palo Alto Networks product development teams to provide structured feedback on features, customer patterns, and cloud security trends that influence the roadmap and delivery experience.

Your Experience

• 4+ years of experience performing cloud security advisement and risk assessments based upon industry-accepted standards

• 6+ years of professional services and consulting experience and 3+ years of Director (or and equivalent Senior Manager) experience leading consulting delivery teams is highly preferred

• Experience managing a diverse team of business and technical consultants

• Cloud Security-related certifications preferred

• Hands-on experience with a cloud hosting provider (AWS, Azure, GCP, etc).

• Deep experience within the cloud native application protection platform (CNAPP) technology or advisory/consulting space.

• Strong fluency in the application of Virtual Machines, SaaS, IaaS, PaaS, FaaS and other public cloud technical infrastructure concepts.

• Possess a deep technical knowledge in Cloud Platforms and the dependencies around such an environment (WAF, SSO, Cloud Threats, API Security, Cloud Security Posture Management)

• Former experience with cloud migrations (cloud to cloud, or on-prem to cloud)

• Knowledge of the technical nuances related to SD-WAN and SASE solutions and their application to Cloud Environment access solutions.

• 10+ years in developing, strengthening and expanding client relationships

• Knowledge of how to integrate command-line interfaces or scripting tools as a part of a risk assessment or remediation in cloud environments is a plus.

• Rich understanding of how Enterprise’s use and struggle using infrastructure as code and continuous integration tools such as Ansible, Chef, Jenkins, Kubernetes, Packer, Pulumi, Puppet, Saltstack and Terraform or CSP tools such as CloudFormation, Resource Manager or Deployment Manager.

• Ability to scope new opportunities with prospective clients, including drafting statements of work and proposals

• Ability to perform travel requirements as needed to meet business demands (on average 25%)

• Bachelor’s Degree in Information Security, Computer Science, Digital Forensics, Cyber Security OR equivalent years of professional experience to meet job requirements and expectations

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 $183000/YR - $252000/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 a Product Marketing Manager at Palo Alto Networks, you will play a key role in planning and executing the product marketing strategy for our data security offerings. You will be the expert, voice, and go-to-market driver for Palo Alto Networks’ data security capabilities. You will drive positioning, messaging, content creation, and sales enablement for the product line that you are responsible for. You will work closely with stakeholders from product management, sales, field marketing, and technology partners to develop and execute your strategy and advance our mission.

Your Impact

• Apply your data security knowledge to translate product capabilities into simple, compelling messages and tools that resonate with customers, with a clear understanding of the target markets and buyer personas

• Work closely with Product Management to build a shared market and product vision, and a cooperative relationship that forms the foundation of all product marketing activities

• Author compelling, high-quality content, both at a business and a technical level, in a variety of formats including print, web, social media, and video. You like to write and present

• Launch products and collaborate with field teams to execute marketing campaigns; be a subject matter expert and a go-to resource for the sales and field marketing teams

• Effectively work at building and executing plans that cross different functional groups, including product management, business development, and sales

• Represent the company in customer engagements and at events, to evangelize our point of view

• Track the data security market and competitive landscape in collaboration with product, marketing, and sales leadership

Your Experience

• 5+ years of product marketing experience ideally with 3+ years in data security or adjacent cybersecurity solutions..

• An understanding of data security technologies, market trends, competitive landscape, and customer requirements is desirable

• Outstanding verbal and written communication skills

• Comfortable with creating and delivering presentations in a range of environments, from industry conferences to customer briefings

• Demonstrated record of working cross-functionally to drive sales, demand generation, and overall organization and business success

• Experience and innovative energy to champion successful market and competitive disruption initiatives

• Bachelor’s degree required, Technical degree or equivalent background or equivalent military experience is desirable

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 $131,000 - $212,500/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.

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.

Key Responsibilities

• Design and build innovative, scalable software products to ensure our customers can use AI securely
• Own new features/functionality from start to finish. Participate in all phases of the product development cycle, from definition, design, through implementation and test. Ensure that applications are production-ready, scalable, and reliable
• Collaborate with product managers, frontend software engineers, product designers, and infrastructure engineers to shape the future of Prisma AIRS Model Security
• Operate production services with hundreds of enterprise customers as a true owner, ensuring that Prisma AIRS customers experience top-notch reliability, availability, and performance
• Develop expertise in new technologies and keep up with the rapidly evolving AI security landscape

Preferred Qualifications

• Expertise in at least one programming language such as modern Python (type hints, Pydantic, etc), Go, Java, C#, or C++
• 8+ years experience in designing large distributed system and web services in the cloud
• Experience writing comprehensive unit, integration, and end-to-end tests
• Experience with a major cloud provider like GCP (preferred), AWS, or Azure
• Experience with CI/CD pipelines, GitLab, and Grafana is a plus
• Experience partnering with front end engineers (collaborate on schema required to power a UI, for example) is a plus
• Excellent written and verbal communication, able to collaborate and convey ideas effectively
• Self-disciplined, self-managed, self-motivated, and strong sense of ownership, urgency, and drive
• Ready to understand and dissect new technology stacks quickly
• Excited about working in an agile and fast paced environment.
• BS or MS in Computer Science, a related field, or equivalent professional experience 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 $147000/YR - $237500/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

• You will serve as the Professional Services leader for your team, ensuring service delivery exceeds customer expectations and drives high levels of customer engagement.

• Own the comprehensive financial and operational management of the business, which includes executing all activities tied to defined goals such as accelerating backlog retirement and ensuring accurate revenue.

• Your leadership will drive operational excellence and ensure consistent operational discipline and accurate reporting, including ownership of key business metrics such as utilization and customer satisfaction .

• Ensure your team is appropriately staffed and has the necessary capacity to achieve quarterly goals, effectively managing a diverse mix of delivery resources (e.g., regional and global delivery teams) to achieve optimal efficiency.

• Champion the integration of AI/ML tools to optimize internal Professional Services operations, drive efficiency in service delivery, and develop innovative execution strategies to increase team productivity.

• A significant portion of your impact is external: collaborating with the sales leadership team, product, portfolio and support teams where you will act as the Professional Services liaison to enable client success. You will build strong customer relationships and be the point of contact for successfully handling customer escalations to maintain high customer satisfaction.

• Focus on the efficient delivery of standardized professional service offerings, focusing on accelerating the customer's time-to-value (TTV) and enforcing high-quality, standardized service delivery methodologies across all engagements.

Your Experience

• 7+ years leading and scaling Professional Services or Customer Success teams responsible for the successful deployment and ongoing operation of complex enterprise security architectures.

• 5+ years of experience in a management role overseeing technical consultants, architects, Customer Success Engineers or Resident Engineers/Extended Expertise staff , with teams of 10+ technical resources.

• Proven expertise in managing the full Professional Services or Customer Success project lifecycle from pre-sales through to successful project closeout and revenue recognition .

• Strong foundational understanding of Internet security concepts and products , with a deep demonstrated knowledge of NGFW and SASE (Secure Access Service Edge) architecture and its components.

• Demonstrated experience running a profitable Professional Services or Customer Success business , including achieving revenue/margin targets, managing backlog, health and optimizing project closure rates.

• Skilled in key business systems, including:

  • Experience with Professional Services Automation tools (e.g., Clarizen, Certina, Kantata) for tracking metrics like utilization, time-off, and backlog.

  • Experience with Sales Management tools (e.g., Salesforce) for revenue forecasting and pipeline review.

  • Experience with Business Intelligence tools (e.g., Tableau) for reporting on key operational metrics.

• Demonstrated ability to manage critical customer escalations effectively and ensure prompt resolution for high-profile clients .

• Excellent written and verbal communication skills with the ability to clearly articulate complex technical knowledge to non-technical individuals and leadership .

• Bachelor’s Degree or equivalent military experience.

• Ability to travel up to 25% domestically to customer sites and internal business meetings.

• US Government DoD Active Top Secret Clearance or higher.

As threats and technology evolve, we stay in step to accomplish our mission. You’ll be involved in implementing new products, transitioning from old products to new, and fixing integrations and critical issues as they are raised. But you won’t wait for them to be raised, you’ll seek them out, too. We fix and identify technical problems with a pointed focus of providing the best customer support in the industry.

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 $178000 - $245500/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 a Principal AI Engineer for the Enterprise AI Platform, you will be a pivotal technical leader driving the identification, design, and hands-on implementation of AI-powered solutions that directly address critical business challenges across IT and all enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will operate where AI innovation, top-tier engineering, and significant business outcomes converge, acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform, you will translate ambiguous problems into concrete AI solution designs, build core components of these solutions, and ensure their successful deployment and measurable impact, supporting both code-based and low-code/no-code approaches.

Your Impact

• Applied AI Solution Design & Architecture: Deeply understand complex business problems and strategic objectives across various enterprise functions. Break down ambiguous AI problems into concrete, actionable AI solution designs, including identifying the appropriate AI models, data requirements, and integration points for end-to-end AI applications
• Hands-on Development & Implementation: Lead the hands-on development and implementation of key components of the AI assistant, agent, app, supporting both traditional and Generative AI model development, deployment, and real-time inference systems. Drive the successful integration of experimental AI technologies into production, showcasing tangible business value through rapid prototyping and measurable results
• System Design & Optimization: Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, security, and developer-friendliness. Optimize existing systems for scalability, efficiency, and maintainability, ensuring the platform's ability to handle massive scale data and inference requests, optimizing for low latency and high throughput for real-time AI applications
• Rapid Experimentation & Integration: Evaluate and integrate new AI tools, frameworks, SDKs, and cloud solutions into the platform, ensuring alignment with architectural strategy and engineering needs. Lead proof-of-concepts (POCs) for emerging AI innovations and drive their integration into production through long-term architectural evolution
• Architectural Adherence & Best Practices: Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI assistants, agents, and applications across various teams
• Technical Leadership & Mentorship: Provide technical leadership and mentorship to other AI and ML engineers, fostering a culture of engineering excellence, innovation, and hands-on experimentation within the team and across the company
• Cross-Functional Collaboration: Partner effectively with executive leadership, data science teams, engineering, product stakeholders, and business leaders to translate complex business use-cases into scalable, production-grade AI solutions. Act as a go-to expert for complex AI engineering challenges, providing technical guidance and hands-on support
• Responsible AI & Governance: Implement features and practices that ensure AI systems comply with responsible AI principles, data governance, privacy laws, security policies, and ethical AI frameworks.
• Innovation & Research: Actively learn and incorporate advances in Agents, Generative AI, LLMs, and scalable AI architectures. Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models (e.g., foundation models, multi-modal AI) to identify opportunities for platform enhancement and new solution development
• MLOps and Automation: Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring, to streamline the AI lifecycle. Design and implement automated testing strategies for AI models and platform components to ensure model quality, robustness, and drift detection

Your Experience

• 10+ years of experience in software engineering, distributed systems, or enterprise architecture, including at least 5 years focused on leading AI/ML engineering or platform development
• Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications, ideally across multiple domains (e.g., customer support, finance, sales)
• Deep practical understanding of the full AI lifecycle for developing assistants, agents, and applications, including feature engineering, RAGs, model training, evaluation, validation, deployment, and monitoring
• Extensive hands-on experience with distributed systems architecture, streaming data platforms, data lakes, and real-time decision engines
• Generative AI & Large Language Models (LLMs): Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), multi-modal models, RAGs (Retrieval-Augmented Generation), and agentic AI systems. Familiarity with techniques for LLM alignment, fine-tuning, and responsible deployment
• Proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch, JAX) and cloud AI/ML platforms (e.g., AWS SageMaker, Google Cloud AI Platform/Vertex AI, Azure ML)
• Strong programming skills in languages such as Python, Java, or Go
• Excellent communication skills with a track record of influencing technical and cross-functional stakeholders at VP+ levels
• System-Level Thinking: Demonstrated ability to think at a system level, understanding complex interdependencies within distributed AI architectures and optimizing end-to-end performance

Preferred Qualifications

• Master's degree or Ph.D. in Computer Science, Machine Learning, or a related technical field or equivalent military experience required
• Experience contributing to open-source AI projects or publications in top-tier AI conferences
• Prior experience in a technical consulting or solutions architecture role, bridging technical teams and senior business stakeholders
• Deep understanding of cybersecurity principles as they apply to AI systems

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 $179000/YR - $290500/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.