דרושים Sr Tax Analyst ב-Palo Alto ב-ארהב

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

• 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.

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

Your Impact

Key Responsibilities:

• Prepare and maintain detailed ASC 740 (Income Tax Accounting) workpapers, calculations, and supporting documentation for quarterly and annual financial reporting.
• Support NCTI (Net CFC Tested Income) calculations, including the preparation of ADS (Alternative Depreciation System) depreciation schedules and other relevant adjustments.
• Maintain the Tax provision datasets on quarterly and annual basis.
• Support Annual Withholding Tax Return for U.S. Source Income of Foreign Persons (Form 1042) analysis to ensure compliance with U.S. withholding tax regulations.
• Monitor tax updates and legislation changes to support overall tax function
• Identify and mitigate company risks and communicate areas of potential exposure within the reporting and compliance processes
• Assist with ad-hoc projects as needed

Your Experience

• Minimum 5+ years of related experience; previous Big 4 experience a plus
• Proficient with OneSource Tax Provision (OTP) required
• Proficient with Corptax compliance software
• Alteryx experience a plus
• Proficiency in leveraging AI/ML and GenAI to automate ASC 740 and compliance workflows, assessing associated risks.
• Comfortable working with different IT applications, such as SAP
• The ability to operate independently and represent the tax function in cross-functional settings
• Must be self-directed with strong organizational skills, and receptive to working in a dynamic, and fast-paced environment in multiple time zones
• Analytical mind-set to approaching problems and strong attention to detail
• Ability to manage multiple projects, prioritize work, and coordinate with internal and external stakeholders
• Excellent oral and written communication skills
• Strong interpersonal and teamwork skills
• Must be local to SF Bay area to be onsite.

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 $98000 - $156000/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

Threat Detection Engineer (Threat Data Platform)

Your Impact

• This role bridges security research and fundamental software implementation

• You will be responsible as subject matter experts to interpret threat intelligence from both automated systems and machine learning.

• You will also be creating the software modules that generate indicator lists, measure indicator quality, and gauge the quality of intelligence ingested.

• The Threat Data Platform is the keystone for intelligence production and dissemination; you are its steward

Your Experience

• Demonstrable expertise in an operational security role - soc analysis, reverse engineering, threat intelligence monitoring and/or creation

• Experience interpreting logs from commercial security products

• Deep understanding of sandbox technologies; how they work and interpreting their reports

• Passion for using automation to enable workflows and automate your day to day tasks

• Expert experience in python is a must

• Strong understanding of fundamental software design for data access and processing larger datasets (REST/SQL/BQ/Mongo/etc…)

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 $149,000 - $204,000/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.

* This role can be based in either our Santa Clara, CA or New York City office with a hybrid schedule of at least 3 days/week in office.*

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

Your Impact

• Act as key business partner & Chief of Staff to the President of Strategic Accounts and regional sales management team; establish, maintain, refine the rhythm of business

• Drive forecasting, deal structuring and participate in a month-end and quarter-end close process

  • Set up cadences for inspection of quarterly targets and forecasts

  • Optimize forecast accuracy by driving discipline with pipeline hygiene and forecast management

  • Facilitate tracking of outstanding purchase orders, ensuring order compliance, bookings reports, etc

  • Manage compliance of the non-standard transactions process; track quarterly metrics on average discounts, non-standard exceptions and recommend actions to improve these metrics

• Drive sales planning, account strategy & quarterly business review meetings with the sales management team

  • Run data analytics and partner with finance/market intelligence teams to assess TAM, product propensity to buy and optimize territory coverage

  • Work closely with sales management on GTM segmentation and coverage strategy implementation

  • Own and drive annual planning exercise for Strategic accounts - quota setting, territory & organization design

  • Partner with sales leadership to drive account & opportunity planning motion

• Manage all aspects of operations, tools, dashboards and reporting

  • Review and identify areas for improvement leading to operational efficiency

  • Assist in driving field readiness for new sales hires and ongoing sales processes training; Coordinate activities and priorities of enablement functions to improve alignment to sales strategy

  • Set up and manage sales programs to drive pipe generation and growth in accounts

  • Manage sales compensation escalations with the Sales Compensation team

  • Work closely with Finance, Sales Compensation and Central Analytics teams to develop & maintain scorecards and dashboards that bring transparency into business performance and arms sales leadership with insights needed to drive their business

Your Experience

• 10+ years of experience in an enterprise subscription software sales strategy & operations role supporting large/strategic accounts

• Knowledge of SaaS / subscription based business models and associated KPIs (Retention & Renewal Rates, ARR, Expansion & Cross-Sell Rates, etc), sales processes and methodologies

• Proficiency with CRM & connected planning systems (e.g., Salesforce, Pigment, Anaplan)

• Attention to detail and ability to execute

• Strong business acumen and judgment, analytical and problem-solving skills, and ability to structure solutions to complex problems; Proficiency in Excel/Google Sheets, SQL & Tableau

• Strong communication & collaboration skills and the ability to effectively partner with all levels of management; Proficiency in PowerPoint/Google Slides

• Self-starter, highly motivated with insatiable curiosity to learn about and influence the business

• Works well within a matrixed environment, with ability to manage simultaneous projects, and tight deadlines

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 $145,000 - $213,000/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, frontend software engineers, product designers, and infrastructure software engineers to ensure the success of the Prisma AIRS organization

• Design and build innovative and solid 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.

• Design, build, and operate production security services

• Develop expertise in new technologies

Your Experience

• Expertise in at least one strongly typed programming language (Go (preferred!), or Java, C#, C++) or modern Python (type hints, Pydantic, etc)

• Experience writing comprehensive unit and end-to-end tests

• Experience in designing large distributed system and web services in the cloud

• Deep knowledge in the public cloud (GCP, AWS, or OCI) is a plus

• Experience with CI/CD pipelines, GitLab and GitHub 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 rally support

• 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

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 $135000 - $155,000/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.