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The Solutions Consultant Defense is the evolution of the traditional Sales Engineering role. This role aligns with how we best serve our customers in understanding their environment, providing solution guidance, and ensuring value realization in their investment with Palo Alto Networks.
As a Solutions Consultant Defense, you drive technical leadership and guide customers through their security transformation journeys. You play a key role in defining technical solutions that secure a customers key business imperatives. Crucially, you take end-to-end technical ownership of your accounts, ensuring solution fit, deployment quality, adoption, and ongoing technical health throughout the customer lifecycle. You evangelize our industry leadership in on-prem, cloud, and security operations services, establishing Palo Alto Networks as your customers cybersecurity partner of choice.
Your Impact
Curiosity is core to the Solutions Consultant role, and you see complex problems as opportunities to learn and deliver innovative solutions! Your impact is defined by taking continuous ownership across the customer journey and execution of the following:
Meeting and exceeding sales quotas by building and implementing strategic, technical account plans that target cross-platform solutions.
Conducting foundational discovery using structured thinking and technical expertise to understand and articulate the technical priorities of your prospects and customers.
Identifying technical stakeholders and cultivating relationships with key personas to build and drive a security architecture transformation roadmap.
Using an understanding of key customer business requirements to position, demonstrate, and create high-level designs across the entire Palo Alto Networks portfolio, creating business value for customers.
Leading successful technical validation efforts based on best practices to ensure a technical win in assigned opportunities.
Promoting specific, focused solutions that include Palo Alto Networks technologies and aligning with professional services to support initial customer outcomes and ensure successful product adoption.
Supporting project-specific technical ownership and serving as a supportive technical advisor for assigned accounts, ensuring solution validation, deployment readiness, and initial product adoption while maintaining feature alignment and immediate technical health of individual projects, resulting in strong customer relationships.
Monitoring customer usage and outcomes to help identify optimization opportunities and potential risks, partnering with account teams and other technical experts to re-engage customers and support continued value from Palo Alto Networks solutions.

We are looking for a research scientist with an extraordinary theoretical background in machine learning and computational mathematics. This is a foundational theory role: we are seeking someone who truly understands how learning algorithms function from first principles, identifies computational and statistical barriers, and proves what is achievable under information-theoretic constraints.
While knowledge of privacy mechanisms (such as Differential Privacy) and cryptography is a strong advantage, the core priority is deep theoretical maturity in statistical learning, sample complexity, and optimization theory. You will bridge mathematical rigor with practical algorithmic innovation, shaping the next generation of our private machine learning.

Responsibilities
Conduct foundational theoretical research into the limits, bounds, and trade-offs of learning algorithms under privacy, computational, and statistical constraints.
Formulate and prove theoretical guarantees for machine learning models, analyzing sample complexity, generalization error, and convergence rates.
Design, analyze, and benchmark novel privacy-preserving learning algorithms (e.g., DP-SGD, private aggregation, and local/central differential privacy paradigms).
Collaborate with applied research and engineering teams to translate theoretical insights and mathematical proofs into practical, scalable machine learning solutions.
Explore intersections between statistical learning theory, optimization landscapes, and cryptographic primitives.
Author high-impact research papers for publication in top-tier machine learning and theoretical computer science conferences.
Stay at the forefront of foundational ML theory and privacy literature, identifying theoretical bottlenecks and proposing novel avenues of investigation.

Join a world-class product management organization as a Technical Product Engineer, playing a pivotal role in delivering deep technical expertise to partners, customers, and internal teams. You will act as a strategic advisor, driving valuable insights and feedback from the field directly into our product development cycle. By experimenting with new technologies and addressing complex sales challenges, you will ensure our solutions remain at the forefront of the industry. Work cross-functionally to shape the future of our continuous security platform and accelerate time-to-value for enterprise SOCs.
Key Responsibilities
Work cross-functionally with sales, product management, and customer teams to support innovation and execution.
Coordinate and lead multi-departmental projects to drive alignment and deliver impactful business outcomes.
Partner with Product Managers to provide feedback based on customer needs, field insights, and product gaps.
Drive cloud-native security innovation for the modern SOC by identifying and enabling high-value use cases.
Design and deliver technical content for cloud security platforms, including integrations, guides, and automation.
Create high-quality enablement materials to help customers and partners adopt, integrate, and scale security solutions.

Palo Alto Networks is seeking a top-notch Technical Product Engineer (Cortex Cloud / CNAPP) to serve as a strategic adviser to the business. You will play a key role in providing detailed technical information to our partners, customers, and internal teams while identifying sales challenges and addressing solutions. Working across product teams, engineering squads, and customer-facing organizations, you will deliver actionable direction that shapes the future of our cloud security portfolio. We are looking for a self-starter who is eager to learn and experiment with cutting-edge cloud security technologies both independently and as a teammate.
Key Responsibilities
Partner with Product Managers and Engineering to provide feedback based on customer needs, field insights, and competitive gaps.
Drive Cortex Cloud (CNAPP) innovation by enabling use cases across multi-cloud posture, workload protection, and threat detection.
Collaborate cross-functionally with legal, sales, and product teams to support execution and adoption of cloud security capabilities.
Lead technical projects across departments to drive alignment, resolve cloud risks, and deliver impactful product outcomes.
Design and deliver technical content including reference architectures, integration guides, custom rules, and automated remediation workflows.
Create enablement materials helping enterprise customers adopt and scale Cortex CNAPP solutions across AWS, Azure, and GCP.

Somewhere between the physics of a sensor and the software people touch, there is a layer that decides whether a breakthrough actually works. That layer is yours.
We're a small, truly multidisciplinary team that spans high-level software down to low-level physics, and we're building the foundation for our next big technology. As a Senior Software Engineer, you'll build the iOS- and macOS-based, low-latency application layer of our data collection and research system. It is the infrastructure that turns raw, real-world signals into the data that trains and validates the next line of our AI products. You'll write the code that makes it all work, and you'll help shape the applications built on top of it.
This is a rare chance to work on something new, from day one, alongside people who see the whole stack.

Responsibilities
Help create the next line of our AI products by building the infrastructure and laying the groundwork they will stand on.
Design and build low-latency middleware components for our-platform applications (iOS and macOS) supporting data collection and research workflows.
Own end-to-end implementation: architecture, coding, debugging, and performance tuning across the application layer.
Contribute to the design and implementation of downstream applications that consume the middleware (not just the plumbing - the product too).
Write robust, production-quality code in C++, Objective-C/C++, and/or Swift for performance-critical and system-level components, and Python for tooling, data processing, and automation.
Collaborate closely with firmware, data, and research teams to ensure the middleware correctly reflects real-world device and sensor behavior.
Use modern AI-assisted development tools as a core part of your workflow - for code generation, debugging, test authoring, and accelerating iteration.
Participate in design reviews, code reviews, and architectural decisions for the broader system.

We are seeking a Senior Principal Software Architect to define and drive the long-term architectural vision for our Secrets Manager SaaS product. In this role, you will lead the design and evolution of our services, ensuring they meet the highest standards of scalability, security, resiliency, and operational excellence. As one of the organization's senior technical leaders, you will shape architecture across multiple product areas, influence strategic technology decisions, and partner with Engineering, Product Management, Security, and Architecture leadership to build a world-class Secrets Manager solution. You will establish architectural standards, mentor engineering teams and architects, and drive modernization initiatives that accelerate innovation while reducing technical debt. Additionally, you will drive the assimilation of AI tools and methodologies into the software development lifecycle to enhance R&D efficiency and developer productivity.

As the Sr Principal Software Architect , you will drive the technical vision and evolutionary roadmap for the Idira Secure Infrastructure Access (SIA) RDP platform. You will architect secure, brokered Remote Desktop access solutions that enable zero-trust security without exposing credentials. Acting as the strategic authority across cross-functional engineering teams, you will establish benchmarks for enterprise security architecture in a fast-paced environment. We seek a visionary leader who combines deep system design mastery with a collaborative approach to deliver highly scalable and resilient distributed systems.
Key Responsibilities
Define the architectural vision and long-term technical strategy for the highly scalable SIA RDP platform.
Establish core architectural patterns, design principles, and engineering standards for distributed security components.
Partner with Product Management and executives to translate business goals into cutting-edge technical roadmaps.
Guide engineering teams through complex design decisions and conduct comprehensive high-level design reviews.
Foster a culture of technical excellence, continuous learning, and innovation across cross-functional teams.

As a Senior SOC Engineer within Unit 42 at Palo Alto Networks, you will drive the creation, validation, and optimization of custom detection rules and automated playbooks across our global customer base. Acting as a trusted advisor, you will collaborate closely with clients to maximize their security posture using Cortex XSIAM and Unit 42 expertise. This highly analytical role leverages your deep understanding of detection lifecycles, proactive automation, and threat intelligence to secure enterprise environments. You will architect end-to-end security lifecycles that seamlessly connect data ingestion with high-fidelity detection engineering.
Key Responsibilities
Own the full lifecycle of custom detections and response automations, deploying them as high-fidelity Cortex XSIAM correlation rules and playbooks through a rigorous engineering process of development, testing, staging, and soft implementation.
Drive the continuous refinement of correlation rules to ensure strict standards for performance, accuracy, and operational relevance.
Translate Unit 42 threat intelligence research and emerging adversary TTPs into actionable, robust detection logic.
Champion proactive automation by engineering sophisticated playbooks to resolve emerging security challenges and optimize operational workflows ahead of demand.
Architect the end-to-end security lifecycle within Cortex XSIAM, seamlessly connecting data ingestion, high-fidelity detection engineering, and sophisticated response automation.

The NPI Engineer is positioned at the interface between Engineering R&D and Manufacturing teams - providing technical and operational support throughout the product development and manufacturing lifecycle.
The role is responsible for ensuring product data accuracy, manufacturing readiness and resolving technical challenges encountered during assembly processes.
The position requires a strong technical foundation, attention to detail and a solid understanding of electronic components, PCB assemblies and manufacturing processes.

We are seeking a highly motivated NPI Engineer to support cross-functional Engineering R&D and Manufacturing teams.
The role requires hands-on experience with printed circuit board assemblies (PCBAs), from design through manufacturing and a solid understanding of product lifecycle management, component engineering, and manufacturing operations.
The NPI Engineer will bridge engineering design requirements with manufacturing execution, resolve technical challenges on the assembly floor and support successful product introductions in a dynamic, global environment.

Responsibilities
Support Product Lifecycle Management (PLM), including engineering changes, product data accuracy and configuration control.
Review and maintain Bills of Materials (BOMs), identifying discrepancies and risks.
Support component engineering, including part definition, catalogingd and alternative part evaluation.
Provide technical guidance on Surface Mount Technology (SMT), PCB assembly, and mechanical assembly processes.
Investigate manufacturing and quality issues, define corrective actions, and drive process improvements.
Collaborate with Engineering, R&D, Operations, and Manufacturing teams to ensure production readiness.
Develop and maintain manufacturing documentation, including assembly instructions and production specifications.

Shape the future of AI-powered software engineering at Palo Alto Networks. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software at Palo Alto Networks gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities
Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques.
Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling.
Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence.
Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions.
Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
Collaborate with core AI engineering to transition validated prototypes into reusable components for our engineering workforce.
Coordinate closely with the US Foundational AI Research team via flexible evening Israel / morning US meetings.

Palo Alto Networks is looking for a seasoned SW Engineering Manager to join the Idira R&D platform organization. In this role, you will lead the team responsible for the Idira SaaS micro-frontend (MFE) platform and the critical services that handle API access to Idira services.
You will manage a high-performing team of engineers, combining hands-on technical leadership with strong execution. Your team owns services that are crucial to any customer interaction with Idira services whether it is UI or API access.
Key Responsibilities
Lead and Mentor: Grow a high-performing team of engineers; foster a collaborative environment and support professional development through mentoring and technical guidance.
Own Platform Execution: Drive the development of new features and capabilities that will allow PANW customers to have secure access to our continuously growing portfolio of Cyber Identity solutions.
Drive AI adoption: We started our journey to become an AI first engineering organization. As a leader you will help your team continue this journey.
Engineering Excellence: Maintain a high bar for quality, performance, and scalability. Oversee end-to-end delivery from design and implementation to production monitoring and support.
Stakeholder Management: Communicate progress, risks, and capability roadmaps clearly to management and partner teams. Maintain the capability matrix for Idira integrations.

Our growing team is looking for a team player with versatile technical skills. You will engage in a cross-functional, collaborative environment that will take your debugging and technical skills to the limit while integrating cutting-edge technologies into our products.
In this role, youll be responsible for bringing groundbreaking wireless connectivity to the world through Wi-Fi, Bluetooth, and more. You will collaborate across departments to help craft wireless solutions that elevate the customer experience with our products and services.

In this role, you will be responsible for:
Work as part of a team to operate a large-scale test automation lab for our multiple products.
Test and integrate SW and HW deliveries from various global R&D teams, including managing, debugging, and failure analysis of automated tests.
Automate manual tasks for the lab and collaborate with technology teams to migrate more setups to the lab.
Constantly improve and innovate our lab procedures, HW setups, and SW tools.
This is a fixed-term position, with the possibility of extension.

Palo Alto Networks is seeking a visionary Sr. Principal Backend Engineer to shape the future of our Cortex platforms. In this highly impactful role, you will act as a technical pioneer and an architectural challenger for our leading-edge security orchestration, automation, and response platform.
Bringing an entrepreneurial mindset and a deep understanding of the competitive business landscape, you will critically evaluate our core systems, champion system quality, and drive rapid prototyping (POCs) for innovative AI-based solutions. This is an exceptional opportunity for a seasoned technologist-perhaps a former founder-who wants to keep their hands in the code while shaping our strategic direction and pushing the boundaries of AI-driven cybersecurity.
Your Impact:
Challenge the Architecture: Bring a fresh, external perspective to critically evaluate our core systems and drive uncompromising standards for quality and resilience.
Prototype & Innovate (POCs): Keep your hands in the code by rapidly prototyping GenAI integrations and evaluating new models before they are scaled by the broader team.
Think Like a Founder: Deeply understand our business, competitive landscape, and market trends to ensure technical decisions drive real business value.
Industry Presence: Stay ahead of the curve by actively engaging with the broader tech community, tracking trends, and attending industry conferences.
Lead & Elevate: Guide cross-functional teams, lead high-level design reviews, and elevate our engineering culture through technical mentorship.

The Cortex Cloud Data Security product is responsible for helping customers understand what data they own, how that data is being used, and how to protect their most sensitive data from cyber attacks and compliance breaches. Data is always the target for attackers and is also one of the most important assets an organization owns today. Helping an organization understand their data footprint, behavior and security drives priority and helps impact the entire security program.
We are looking for a Senior/Principal Product Manager who can design, build and ship industry defining products to help cloud security and data security teams protect their organization's most valuable assets.
Your Impact
Build and launch enterprise class products throughout the entire product lifecycle - collect customers feedback and hear their need, prioritize features and trade offs, write the product requirements and work closely with engineering group to deliver the roadmap
Lead core pillars within Cortex Cloud Data security and grow them to new horizons by bringing innovative and disruptive approaches, and ensure that they can be effectively launched
Working effectively with all areas of the organization in a global company, from engineering to sales
Understand cloud and data security practitioners, often being able to directly relate to and understand use cases
Work closely with our customer success, marketing and sales teams on supporting existing customers, identifying common user problems and taking the solutions you define to market.

Test Bluetooth (Classic and LE) features and connectivity end to end, from the application layer through the firmware, on real devices and in real-world scenarios.
Run manual and automated tests, analyze the results, and report quality status and risks.
Investigate failures and performance degradation using logs, protocol traces, and sniffer captures. Raise well-isolated, validated bugs with clear reproduction steps and supporting data.
Read and trace code in the test environment, host software, and firmware to isolate issues, and support developers with the information they need to fix them.
Improve and enhance test flows, tools, and scripts to make testing faster, more reliable, and broader in coverage. You may also take on tasks to improve the testing infrastructure, such as lab setups, test frameworks, and CI and reporting pipelines.
Learn and deeply understand new Bluetooth and wireless protocols and features, and use that knowledge to define what to test and to tell expected behavior from real bugs.
Take initiative: identify gaps, risks, and improvement opportunities on your own, and launch and drive activities from idea to completion without waiting to be asked.
Lead and influence others: align and motivate teammates and cross-functional teams, and drive issues to resolution with clear ownership and follow-through.
This is a fixed-term position, with the possibility of extension.