Distinguished Architect Enterprise Architecture jobs at Palo Alto

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 revenue accuracy .
• 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, specifically SASE .

• 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 SASE 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.

• Relevant industry certifications such as CISSP and/or PMP are highly desirable.

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

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

We are looking for a proven first-line sales leader with great energy, leadership, and initiative to drive team performance and revenue growth for our sales team. This role will entail:

• Deeply understanding your customers’ needs by doing the research to develop insight into their priorities

• Bring support to your team by participating in and leading prospect meetings

• Deep dive into weekly territory pipeline and forecasting activities to coach direct reports on strategies to drive closure

• Actively engage in territory planning and development, relationship development and opportunity to drive revenue by supporting and assisting your team in closing opportunities

• Lead a high-performance sales culture that delivers results in bookings, sales development, and forecast accuracy while simultaneously mentoring and developing your team

• In-depth technical knowledge of our portfolio with the ability to take a holistic approach to help solve our customers' problems

• Drive and oversee team selling opportunities

• Holds team and self accountable to achieve challenging goals while maintaining a forward-thinking approach when faced with setbacks

• Ability to communicate with leaders at all levels, including C-suite and establishes open and trusting relationships

• Successfully influences others through change management

• Development of a winning team, including recruiting, hiring and training while upholding our core values.

Qualifications

• Experience and knowledge of SaaS-based architectures, ideally in a networking and/or security industry

• Experience with channel and partner sales models

• Proven leader with the ability to create high performing teams in a rapidly growing sales environment.

• Year over year track record of successful sales pipeline management and results

• Highly driven individual with an execution focus and a strong sense of urgency with an entrepreneurial mindset.

• Track record of consistently delivering revenue numbers and goals while maintaining a focus on team development and growth.

• Capable of successfully managing significant client escalations and issues

• Excellent at influencing others, both externally and internally; ability to communicate effectively and build consensus across various functional groups to achieve goals.

• You're a leader and you know that to get the best results, you also have to be a great team player, building excellent rapport and collaboration with cross-functional teams.

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 $332400 - $457050/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 may require travel to and from Palo Alto Networks, Inc. business meetings and events and requires reliable transportation to do so. If a hire chooses to drive in connection with company business, the hire for this role must maintain a valid driver’s license.

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

Your Career

We’re seeking a Distinguished Engineer to lead the architecture, scalability, reliability, and advanced detection algorithms of Palo Alto Networks’ Data Loss Prevention (DLP) platform. This role drives the technical vision for low-latency, multi-tenant, and cost-efficient systems that power data protection across all product lines. You’ll connect strategy across orgs, guide design and implementation standards, and mentor senior engineers to deliver world-class platform outcomes.

​​Architecture & Strategic Vision

The Distinguished Engineer will define the long-term direction for the DLP platform architecture.

• Define Platform Foundation: Define and drive the DLP platform’s "north star," including the scalable control/data planes, APIs, and data pipelines.
• System Design: Design and evolve distributed systems specifically optimized for high throughput, low latency, and fault tolerance.
• Cross-Functional Influence: Lead cross-org architectural alignment across product, Site Reliability Engineering (SRE), privacy, and Machine Learning (ML) teams.
• Detection Algorithm Enablement: Architect the core data structures and serving layers that enable high-performance DLP classification, like Regex, Exact Data Matching (EDM), Document Fingerprinting, and advanced ML/AI classifiers.

High-Scale Platform Engineering & Performance

Ensure the platform meets the highest standards of performance and reliability through technical execution and optimization.

• Distributed Systems Mastery: Guide the design and implementation of highly resilient systems leveraging expertise in microservices and streaming systems (Kafka/Pulsar/Kinesis).
• Stateful Architecture Implementation: Ensure the platform utilizes stateful architectures necessary for high-performance DLP components, leveraging technologies like RocksDB, Redis, and Cassandra.
• Performance Optimization: Demonstrate proven experience with high-performance, multi-tenant systems and end-to-end performance optimization. Success is measured by achieving step-function improvements in latency, throughput, and reliability.
• Cloud Infrastructure: Ensure a strong grasp of cloud infrastructure (GCP/AWS/Azure), Kubernetes, observability, and SLO management is applied across the platform.

Mentorship & Operational Excellence

The role requires leadership in engineering standards and organizational consistency.

• Technical Mentorship: Mentor Staff and Principal engineers to influence technical direction and standards company-wide.
• Reusable Frameworks: Build paved roads and reusable frameworks for platform consistency and operational excellence.
• Platform Leverage: Ensure platform capabilities are reused across multiple products.
• Efficiency Gains: Elevate developer productivity and operational efficiency through standardized frameworks.

Pioneering Success

• Step-function improvements in latency, throughput, reliability, and detection.
• Platform capabilities reused across multiple products.
• Elevated developer productivity & operational efficiency through standardized frameworks.

Your Experience

• 12+ years of experience building large-scale distributed systems or SaaS platforms with a minimum of 3+ years operating as a Distinguished or Principal-level Engineer/Architect.
  Deep expertise in microservices, streaming systems (Kafka/Pulsar/Kinesis), and stateful architectures (RocksDB, Redis, Cassandra).
• Strong grasp of cloud infrastructure (GCP/AWS/Azure), Kubernetes, observability, and SLO management.
  Proven experience with high-performance, multi-tenant systems and end-to-end performance optimization.
• Background in data privacy, policy engines, or content inspection/DLP systems preferred.
  Excellent communicator able to influence across teams and align engineering strategy with business goals.
• BS/MS degree in Computer Science or equivalent or equivalent military experience required

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 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 Career

We’re looking for an experienced product public relations manager to support our AI-powered security platforms and solutions, and serve as the lead communications advisor to product and product marketing teams. In this role, you’ll be responsible for strategic thinking and execution of communication campaigns, including product launches, industry events, thought leadership programs and proactive media engagements, as well as strategies to support an organization that is constantly innovating and evolving.

Your Impact

• Serve as the primary communications advisor to internal stakeholders focused on AI-powered solutions, including product, product marketing, content, social, analyst relations and legal.

• Develop and execute external communications plans and narratives that engage multiple audiences and connect them to the company strategy and product vision

• ​​Serves as a media relations expert for the AI sector, identifying and building relationships with key journalists, and developing and executing targeted pitches that result in significant, high-quality media placements

• Write, edit, review and drive impactful AI-focused content positioning Palo Alto Networks as the leader in cybersecurity. Content includes press releases, bylines, blogs, media pitches, briefing documents and books, messaging, FAQ, coverage reports, internal messages, and blogs.

• Manage PR agency in North America and support the execution of our global PR strategy

• Ensure messages are consistent across all media and departments of the organization

• Establish ongoing metrics; measure everything to ensure success, and pivot early and often

Your Experience

• 8+ plus years of experience in public relations (in-house or agency), ideally in tech - cybersecurity preferred

• Results oriented to develop and execute on integrated PR plans and impart knowledge to stakeholders for various initiatives (product launches, events, reactive, etc.)

• Proven ability to think beyond traditional PR tactics and strategies to design/execute integrated communications approaches

• Possess strong critical thinking, project management and time management skills, with the ability to be flexible and solutions-oriented as well as lead and manage projects simultaneously on deadline

• Ability to craft compelling narratives from technical features

• Be savvy at managing up and sideways to move a project forward, pass roadblocks and finish on time--while building relationships with co-workers and senior leadership

• This position is office-based (New York or Santa Clara, CA) and will require 4 days in office

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 $123000/YR - $199000/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

• Serve as the single technical orchestrator for large, complex, and strategic XSIAM deployments
• Direct Professional Services (PS), Solutions Consulting (SC), and Domain Consulting (DC) resources, orchestrating workstreams to ensure a successful customer deployment
• Educate and align customer security operations teams with XSIAM capabilities, running "day in the life" sessions and ensuring they can apply XSIAM to their specific workflows
• Coach and train field DC and PS teams during deployments to build their skills for future projects.
• Define, develop, disseminate, and improve best practices, templates, and knowledge that can be used by the broader field to scale our deployment capabilities
• Provide technical and product consultation while managing escalations and issues throughout the deployment lifecycle
• Lead customer workshops and gap analyses to assess customer needs, define outcomes, and identify any risks to a successful deployment
• Document improvement recommendations from deployments to feed back into our processes.
• Help transition the team's focus long-term to a "health check" process and expand our success model to new use-cases

Your Experience

• Senior level technical acumen with XSIAM/SIEM solutions, including deep technical knowledge of all XSIAM capabilities
• Excellent customer-facing communication skills with strong executive presence
• Demonstrated ability to coordinate resources across multiple internal and external organizations
• A coaching and training mindset, with a proven ability to mentor others
• A "scale mindset" with a focus on using AI for data collection, developing reusable process concepts, and authoring best-practice documentation
• Ability to handle 4-5 concurrent deployment engagements
• Strategic mindset with strong problem-solving, analytical, and critical thinking 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 $239000/YR - $278500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

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 help shape Palo Alto Networks’ Prisma Access Browser - a leading product in an emerging category that is disrupting the cyber security market. This role requires high proficiency in product development, cyber security and an innovative approach to problem solving. You will help drive the strategy, vision, and roadmap for Palo Alto Networks’ Prisma Access Browser, an innovative product reshaping the cybersecurity market. You will bring over six years of deep expertise in cybersecurity product management, working across inbound and outbound activities to prioritize features, define technical requirements, and lead a dedicated engineering squad. With a strong technical background and experience analyzing data from diverse sources, You will collaborate closely with product designers to deliver compelling, user-focused solutions. You will engage directly with customers and partners to gather feedback, ensuring our products provide meaningful value and stay ahead of market trends. As a senior leader, You will serve as the go-to expert in my domain, championing product excellence from early-stage development to market maturity.

Your Impact

• Expertise in product management in the cyber security industry or the browser industry.
• Deep experience (minimum 6 years experience) in one or more of the following areas:
• Cyber security product management
• Browsers development
• Networking and Network Security (FW, Proxy, etc.)
• Host Protection (EDR/EPP)
• Identity Management
• Data leakage prevention
• RBI Experience
• Working on both inbound & outbound activities
• Experience in analyzing data from various sources
• Advantage: experience in escalations management or high-tier support
• Advantage: working with LLMs and AI technologies
• Advantage: proven experience in bringing a product from early stage to market maturity
• Solid technical background with understanding and/or hands-on experience in software development and web technologies
• Excellent presentation and creativity skills

Your Experience

• Own the strategy of a “product theme” - product capabilities that deliver customer value in a wide category such as data protection, threat prevention, admin policy configurations, and more.
• Research the market, competition and technologies, to develop a product strategy, vision and roadmap
• Prioritize features for development and specify the technical requirements. As a Senior Product Manager, you will have your own organic engineering squad
• Work with product designers to create a compelling UI/UX for development.
• Drive the delivery of your features
• Work with the field to get direct customer feedback, and learn from our friendly partners in the market.
• Become an expert in your domain, and be the leading go-to person within the org

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 $166000/YR - $268500/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.