Cato Networks

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We’re looking for an experienced Software Engineer to join our RBI (Remote Browser Isolation) team. In this critical role, you will take part in building a new SaaS product from scratch to production and solve architectural and engineering challenges. You will be building highly scalable solutions, providing infrastructure and value to a new asset management product. Responsibilities: • Develop a new SaaS product from scratch to production, and participate in defining the specifications, architecture, and other tech-related areas of the project. • Take ownership of end-to-end development, from processing large-scale data to building backend services that power web interfaces. • Work closely with multiple stakeholders – Product Management, Research, SOC and NOC services, and Automation teams. • Design and implement enterprise platform solutions. • Research new technologies and adapt them for use within the company's products. • Collaborate with multiple development teams to deliver scalable, high-quality solutions. • Participate in code reviews, architectural discussions, and continuous improvement of engineering practices. Requirements: • 5+ years of backend development experience. We’re using Java, Go, Play Framework, Spring Boot, GraphQL, etc. • Experience with Chromium and video streaming technologies • Familiarity with AWS technologies. • Experience building and operating high-scale SaaS microservices in production. • Experience testing services using continuous integration methodologies. • B.Sc. degree in Computer Science from a recognized university or equivalent experience. • Well organized, execution-oriented, motivated, a fast learner, independent, and an excellent problem solver.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato Networks is looking for a high-energy, talented people to join the Cato Security team. As a Security Engineer, you will take part in product content development and build logics and signatures to mitigate emerging security threats. Your work outcome will feed Cato Cloud security products such as the IPS and Suspicious Activity Monitoring with the latest protections. You will analyze protocols and investigate various attacks utilizing network analysis tools and modern data analysis frameworks. Joining Cato is an excellent opportunity for network security enthusiasts who are passionate about the future of Networking and Security. Responsibilities: • Research and analyze new threats and develop product content such as IPS signatures and logic to provide the best protection for Cato’s customers. • Enhance product accuracy and its ability to detect new threats in the dynamically-changed security landscape. • Monitor your work using different monitoring tools and methods over the cloud. • Utilize Cato Data Warehouse with big-data technologies to support your work. • Requirements: • 2-4 years of hands-on experience in the cyber-security industry. • Knowledge of networking architecture and protocols (TCP/IP, DNS, SSL, HTTP). • Understand the cyber-security landscape, and common attack scenarios: Malware C&C, Drive-by attacks, Phishing, Network scans, etc. • Experience (Hands-on) with Wireshark and PCAP analysis. • Experience with signature development for IPS and Firewall - Advantage • Experience with at least one scripting language such as Python or Ruby - Advantage • Analytic spirit: define a thesis and validate it based on in-depth analysis and technical facts. • Excellent English and communication skills. • Team player, responsible, and well-organized. • B.Sc.. in Computer Science, Information technology or Mathematics

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato is building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs. We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic. This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path. The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams. Responsibilities • Build and lead Cato’s AI Platform team: hiring, mentoring, architecture, technical direction, and execution. • Own the AI security runtime platform for high-throughput, low-latency inline security decisions across Cato’s global cloud and PoPs. • Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine. • Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health. • Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout. • Work closely with research and algorithm teams to productionize AI security models and algorithms at scale. • Define the long-term platform strategy for AI runtime and model serving at Cato. Requirements • 3+ years of leadership experience as a team lead, tech lead, or engineering manager. • 3+ years of hands-on experience in AI inference, production ML infrastructure, model serving, or AI runtime platforms. • Strong experience with production inference technologies such as Triton, vLLM, CUDA, Kubernetes, Docker, PyTorch, ONNX, TensorRT, or similar. • 3+ years of experience with Go, or strong experience with a similar high-performance backend language such as C++, Rust, or Java. • Experience with performance optimization, scalability, observability, and SLO-driven production ownership. • Strong system design skills, especially around distributed systems, performance, reliability, and production infrastructure. Advantages Experience with GPU optimization, GPU scheduling, GPU resource efficiency, quantization, runtime acceleration, or large-scale model serving.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. As part of this exciting journey, Cato recently joined forces with Aim Security — a fast-growing innovator redefining how organizations secure and build with AI. Backed by Cato’s global reach and powered by Aim’s startup energy, we’re building the future of AI Security together. We are on a mission to enable enterprises to adopt AI safely and securely. Our approach combines advanced AI research with practical implementation to offer seamless integration and protection for our clients' AI based tools and infrastructure. We are looking for a Senior Data Scientist / Applied AI Researcher with deep expertise in NLP and LLM-based systems, and the ability to operate across the full lifecycle, from problem formulation and research design to production deployment and real-world iteration. You won’t be working on isolated experiments. You’ll be part of a multidisciplinary team that owns the system end-to-end and is responsible for how it behaves under real production traffic. This role requires strong scientific discipline and the maturity to balance innovation with practical constraints. What you’ll do • End-to-End Ownership: Lead AI security solutions from problem formulation and research design through model development, evaluation, and production deployment. Ensure solutions are measurable, reliable, and effective under real-world traffic. • Drive Technical Direction: Take responsibility for ambiguous AI security problems, propose thoughtful approaches, and drive structured experimentation and deep model analysis. • Build for Scale: Design systems that are not only accurate, but scalable, efficient, and robust. • Staying Updated: Continuously explore advances in NLP and LLM-based systems, and critically assess what is worth integrating into a production environment. What you bring • 5+ years of hands-on experience applying NLP/DL algorithms, techniques to real-world problems, with strong intuition for textual data and model behavior. • Experience working with LLMs, with a strong grasp of practical best practices and the judgment to apply them throughout the R&D lifecycle when building task-specific models. • Strong proficiency in Python and modern DL frameworks (PyTorch, HuggingFace, etc.). • Experience designing experiments, defining metrics, and analyzing model failures. • A strong drive to solve complex AI security challenges, with both curiosity and pragmatism. Why join us • Be part of a lean, elite team where your work doesn’t just sit in a backlog — you’ll ship real value, frequently, and see the impact. • Bridge the best of startup energy with the scale and reach of Cato Networks: you’ll build for enterprise-grade reliability and commercial scale, and also retain the innovation spirit of a startup.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We are looking for an experienced Automation QA Engineer to join us. You will be responsible for E2E testing new features of our fast-evolving product, by building a complex network environment and simulating enterprise customers' topologies and requirements. In addition, you will work with our Automation tests and lab management frameworks and will have the chance to make your first steps in the SW Automation development world. In your role - you will be the only gatekeeper for various new features and enhancements before they are deployed in our production cloud. Responsibilities: • Plan and execute manual/automated performance tests for core network infrastructure and edge devices. • Design, develop, and maintain robust test automation frameworks to enable continuous integration and validation. • Analyze and debug complex network failures, leveraging automation, logs, and advanced diagnostic tools. • Lead validation efforts for new projects and features, defining test coverage and automation strategy from early design stages. • Design and deploy complex physical and virtual network topologies to support automated end-to-end testing. Requirements: • CCNA certification and a strong understanding of networking fundamentals, including • TCP/IP, UDP, VLANs, HTTP/HTTPS, DNS, and routing protocols. • Hands-on experience with Linux networking and troubleshooting. • 3+ years of experience developing test automation in Python using OOP principles. • Proven ability to debug complex, multi-component systems. • A team player with excellent collaboration skills • Ability to multi-task and work in a fast-paced environment Advantage: • Hands-on experience working with physical network equipment in a lab environment. • Experience with virtual environments like ESX, AWS, Azure or GCP • BSc degree in Computer Science or a related field. • CCNP or JNCIP certification. • Familiarity with network test equipment or traffic generators.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We are looking for an exceptional Senior Product Manager to join our AI Security group and play a key role in shaping the future of AI Security at Cato. As a Product Manager, you will drive product strategy, define innovative security capabilities, and work closely with engineering, security researchers, and customers to build solutions that help organizations securely embrace the AI era. Responsibilities: • Identify emerging challenges, opportunities, and customer requirements related to AI Security, AI applications, AI agents, and data protection. • Define and drive product strategy for AI Security initiatives across Cato's platform. • Break down strategic product goals into actionable plans and lead execution across engineering, research, design, and go-to-market teams. • Define product requirements and oversee the implementation of new AI Security capabilities and services. • Conduct market research, competitive analysis, and customer discovery to understand evolving AI Security threats, trends, and customer needs. • Work closely with customers, partners, and internal stakeholders to validate problems, prioritize opportunities, and shape product direction. • Analyze product performance, user behavior, and customer feedback to continuously improve product effectiveness and business impact. • Collaborate closely with world-class engineering and security teams to bring innovative AI Security solutions to market. • Drive cross-functional initiatives involving Product, R&D, Security Research, Sales, Marketing, and executive leadership. Requirements: • At least 5 years of B2B Product Management experience in enterprise software or cybersecurity companies. • Proven experience building and delivering security products. • Strong domain expertise in cybersecurity, including cloud security, data protection, application security, threat detection, security operations, or related areas. • Experience working on AI-powered products, Generative AI solutions, AI platforms, or AI-driven user experiences. • Strong understanding of modern AI technologies, including Large Language Models (LLMs), AI agents, orchestration frameworks, tools, and AI application architectures. • Demonstrated ability to lead complex product initiatives from concept to launch in fast-paced environments. • Strong technical aptitude and ability to work closely with highly technical engineering and research teams. • Excellent communication, prioritization, and stakeholder management skills. • Proven ability to influence and drive alignment across cross-functional teams. • Technical background as a software engineer, security engineer, security researcher, solutions engineer, or similar technical role.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato Networks is the world’s leading SASE platform, transforming how enterprises connect and secure their branches, users, and clouds. Our Product Managers are strategic leaders who shape the market, solve complex problems, and drive innovation across our Networking portfolio, including Cloud Connectivity, Private Access, SSE, and SD-WAN. We are looking for a Network Product Manager to help define product strategy, collaborate with the field, and deliver impactful features that move the business forward. What You’ll Do • Lead product initiatives that shape the future of enterprise networking. • Work closely with customers, partners, Sales, and R&D to define and deliver new capabilities. • Translate strategic goals into clear product requirements and drive execution across engineering teams. • Serve as a trusted expert to the field, supporting strategic deals and providing architectural guidance. • Conduct market and competitive research to identify opportunities and influence roadmap decisions. • Present product updates, best practices, and value propositions internally and externally. • Travel periodically to meet customers and partners. What You Bring • 3+ years of B2B Product Management experience. • Strong technical background in enterprise networking and network security. • Excellent problem-solving skills and ability to support complex pre/post-sales scenarios. • Leadership qualities with the ability to influence cross-functional teams. • Experience or familiarity with SASE/SSE, SD-WAN, cloud networking, or security — a strong advantage. • Relevant certifications (CCNP/CCIE/JNCIE) — an advantage. • Background in QA, Sales Engineering, or similar networking roles — an advantage. • Deep knowledge of the top four Cloud Service Providers (Azure, AWS, GCP, OCI) — advantage.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We’re looking for a passionate and creative Software Engineer with a strong data-driven mindset and around 4 years of experience to join our team. In this role, you will contribute to developing our cloud-based personalized networking and security management solutions, as well as building scalable systems for processing and analyzing data across multiple networks. Responsibilities: • End-to-end development, from processing large-scale data to building intuitive web interfaces • Designing and implementing data pipelines, analytics, and insight-driven features • Developing backend services with a focus on performance and scalability using C/C++ and Python • Contributing to frontend development and overall system integration • Implementing and testing network security enterprise solutions • Conducting research and prototyping new features and product ideas • Exploring new technologies and integrating them into the product • Driving a data-driven approach to product and engineering decisions Requirements: • 4+ years of software development experience • Strong programming skills in C, C++, and Python – Must • Familiarity with Java (server-side development experience is a plus) • Experience designing and developing scalable systems and services • Strong data-driven mindset with experience analyzing large datasets • Experience with data processing, pipelines, or data-intensive applications • Familiarity with relational and NoSQL databases (e.g., MySQL, Redis, Elasticsearch) • Familiarity with cloud platforms (preferably AWS) – Advantage • Experience with data analysis tools/frameworks (e.g., Python, SQL, Spark) – Advantage • Experience with modern web technologies (e.g., React, TypeScript) – Advantage • Strong problem-solving skills and ability to work independently • Team player with excellent collaboration and communication skills • Fast learner with the ability to quickly adapt to new technologies • BSc. in Computer Science or equivalent

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. We're looking for an experienced IT Support Specialist to join our global IT support team. You'll be the first point of contact for Cato employees worldwide, resolving hardware, software, and access issues, leading onboarding and offboarding, and collaborating on IT workflow improvements and automation. Day-to-Day Support • Provide first-line technical support to employees across all global offices, ensuring fast, professional, and customer-oriented service. • Troubleshoot hardware, software, and network issues, primarily on macOS with some Windows. • Support cloud and SaaS platforms, including Microsoft 365, Slack, Zoom, and other internally used tools. • Provide AV support for the auditorium and conference rooms, including management and troubleshooting of Zoom Rooms, Polycom systems, and other video-conferencing technologies. Process Ownership & Projects • Administer and monitor cloud infrastructure components, including Azure AD/Entra ID, Intune, Kandji, and AWS services. • Lead and execute employee onboarding and offboarding processes, including provisioning, access governance, device setup, and security compliance. • Partner closely with Systems and Security teams to identify, escalate, and resolve complex technical issues and improve IT workflows and automation. • Participate in IT projects and initiatives with other teams to improve internal systems and the employee experience. What You Bring • At least 3 years of experience in IT support or a related technical role; high-tech or startup experience is a plus. • Hands-on experience with Azure, Entra ID, and Microsoft 365 cloud environments. • Strong troubleshooting skills across Windows and macOS laptops, as well as mobile devices. • A solid understanding of networking fundamentals, including firewalls, Wi-Fi, and VPN technologies. • Experience with endpoint management tools such as Intune or Kandji is a plus. • Knowledge of IT automation or scripting with PowerShell/Python is a plus. • Familiarity with IT knowledge-base and documentation processes is a plus. Who You Are • Service-oriented with a high level of professionalism. • A strong problem-solver with excellent analytical thinking. • Organized, detail-oriented, and able to manage multiple tasks simultaneously. • A clear communicator with strong interpersonal skills and the ability to support employees at all levels. • Comfortable working independently and collaboratively within a fast-paced team environment.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato Networks is looking for a Lead Security Researcher - AI Threat Intelligence. This key position within the threat intelligence group will be in charge of analyzing the vast amount of data that is managed by Cato Networks, develop threat intelligence on adversarial TTPs (tactics, techniques and procedures) and generate reports, presentations and blogs on anomalies and tools identified. This role goes beyond the analyst role, as a key member of the team the threat intelligence researcher will work with internal security teams, network data, underground intelligence teams and much more, performing cutting edge research followed by presenting the research externally via various mediums. Responsibilities: • Lead threat intelligence research focused on AI-related threats, threat actors, attack techniques, and emerging cybersecurity trends • Analyze internal and external security data to identify attack patterns, campaigns, and actionable intelligence • Explore large-scale datasets using SQL and other data analysis methods to generate research insights • Build tools, workflows, and agentic systems to automate research, investigation, and intelligence production • Research how attackers use AI and how AI can improve threat detection, investigation, and response • Publish high-quality research, including blogs, reports, threat intelligence summaries, and customer-facing insights • Present research at cybersecurity conferences, webinars, company events, and customer-facing sessions • Collaborate with product, data, engineering, and research teams to improve detections and product intelligence • Independently lead research initiatives from idea and data exploration to publication and presentation. • Travel internationally for company events and cybersecurity conferences at least six times per year. Requirements: • At least 5 years of hands-on experience in cybersecurity, threat intelligence, security research, or security analysis • Strong understanding of the cybersecurity threat landscape, including threat actors, malware, phishing, C&C, exploitation, cloud threats, and attacker behavior • Proven experience in threat intelligence research, including IOCs, TTPs, MITRE ATT&CK, campaign tracking, and threat actor profiling • Strong data exploration skills, with practical experience using SQL to analyze large-scale security datasets • Experience using AI tools, AI coding assistants, and agentic workflows for research, automation, and data analysis • Ability to build scripts, internal tools, or agentic systems to support threat research and intelligence workflows • Strong technical writing skills, with experience publishing blogs, reports, whitepapers, or public research • Strong presentation skills, with the ability to represent the company at conferences and external events • Self-learner with high curiosity, strong ownership, and the ability to manage complex research independently • Ability to collaborate effectively with cross-functional teams, including product, engineering, and data teams • Fluent English with excellent written and verbal communication skills • Willingness to travel abroad for conferences, customer events, and company events at least six times per year Advantageous: • Experience researching AI threats, LLM abuse, AI-assisted attacks, or AI-powered detection • Experience building agentic systems, automation frameworks, or AI-based research workflows • Background in engineering, backend systems, data infrastructure, or security platform development • Experience with data warehouses, BI tools, notebooks, or large-scale telemetry analysis • Experience with XDR, MDR, SIEM, EDR, NDR, SASE, or cloud security products

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Now we are looking for a SW Architect to join the Cato team. This is an amazing opportunity to join a growing startup and make a real impact on the future of our product while playing a critical role in the design and development of our SASE solutions. Responsibilities: • Participate in setting and executing the product architecture and roadmap, maintaining scalability, reliability, productivity, performance, and security. • Collaborate with Product and Engineering to understand and analyze market needs and map them to technical terms of our architecture. • Architect new features and systems to meet functional and non-functional requirements - from management application & services, through our massive cloud backbone and to the multi-platform client products. • Act as a bridge between R&D groups, identifying opportunities and gaps and aligning on common concepts and technical vision. • Be an insider and trusted advisor to different R&D groups and teams, through a hands-on approach and technical excellence. • Stay up to date with industry trends and emerging technologies to drive innovation and product differentiation. Requirements: • 10+ years of experience in design & implementation of complex software systems • Strong proficiency with microservices and SaaS products, as well as low-level Networking or Security infrastructure. • Leading large-scale solutions from product definitions to low level design of components and implementation. • Driving changes in adopting technologies / refactoring / processes / development infrastructure – from envisioning (coming with the agenda) to actual execution of the strategy. • Excellent analytical, systemic thinking and problem-solving skills, with great attention to detail. • Excellent leadership, communication, and collaboration skills Cato Networks is building the enterprise network and security platform of the future. Our cloud-native network architecture is pushing the envelope on what can be done with cloud, software, and true genius. If you want to be part of a team that changes networking and security forever - join us.

Cato Networks is the converged network and security cloud for the AI era. As AI reshapes cybersecurity, enterprises face a dual challenge: unlocking AI’s potential while defending against AI-driven attacks. Cato addresses both through a unified, cloud-native platform, providing the visibility and context to prioritize risks and stop threats in real time across users, applications, data, and AI agents. Join us as we scale: take on ambitious technological challenges and shape the next generation of enterprise security at a company trusted by thousands of organizations worldwide. Cato Networks is seeking a VP of Product Management to lead the vision, strategy, and execution for Cato’s management platform, Data Platform, and network and security operations portfolio. Your scope will include the Cato Management Application (CMA), Agentic CMA, XDR, XOPS, Digital Experience Monitoring (DEM), NOC capabilities, and posture management, as well as the Data Platform’s infrastructure and data products and the developer experience supporting Cato’s SASE platform. You will shape how customers configure, monitor, secure, and operate their environments, delivering a unified management experience powered by AI, automation, and data. You will also guide the evolution of the data foundation and products that turn network, security, and operational telemetry into actionable insights. You will lead the product organization for this area, working closely with the Research group, the PLG team in London, Engineering, DevOps, and SRE. In partnership with executive leadership, you will translate this vision into a clear roadmap that delivers intelligent management experiences, scalable platform and data capabilities, and measurable customer and business value. Responsibilities • Own the product vision, strategy, roadmap, and execution across CMA, Agentic CMA, XDR, XOPS, DEM, NOC capabilities, posture management, and the Data Platform, including its infrastructure and data products. • Advance the Agentic CMA vision, enabling customers to move from manual administration toward intelligent, automated management and operations. • Deliver cohesive workflows across network and security operations, connecting visibility, investigation, troubleshooting, posture assessment, and remediation. • Define the Data Platform strategy, prioritizing scalable data ingestion, processing, storage, and access capabilities that support analytics, AI, and operational use cases. • Lead the development of data products that transform platform telemetry into actionable insights, reporting, and measurable customer value. • Establish priorities for data quality, governance, availability, and performance in partnership with Engineering and relevant stakeholders. • Lead and grow the product organization, developing strong product leaders and teams with clear ownership and accountability for outcomes. • Partner with the Research group and Engineering to translate research and emerging AI capabilities into practical, reliable experiences that simplify management and operations. • Collaborate with the PLG team in London to improve self-service experiences, accelerate time to value, and drive adoption and growth. • Work closely with Engineering, DevOps, and SRE to prioritize infrastructure and developer experience investments that improve scalability, reliability, and development efficiency. • Engage directly with customers and partners to understand their management, network operations, security operations, and data needs, validate product direction, and guide prioritization. • Define success metrics and use customer feedback, product analytics, and market insights to guide investment decisions and continuous improvement. • Align stakeholders across Engineering, Sales, SE, Marketing, and Operations, leading product initiatives from discovery through launch and adoption. Requirements • 10+ years of product management experience, including senior product leadership roles at VP level or equivalent. • Proven experience leading and scaling product organizations, including managing product leaders and multiple teams. • Strong technical background in enterprise SaaS, cloud platforms, and infrastructure, with a solid understanding of networking and network security. • Experience owning complex enterprise management platforms, administrative experiences, or products serving technical users. • Experience leading product strategy for data platforms, including data infrastructure and data products, with an understanding of data pipelines, analytics, and data governance. • Experience with network or security operations products, such as XDR, digital experience monitoring, NOC workflows, or posture management, with the ability to lead a portfolio spanning both domains. • Demonstrated ability to translate AI and automation capabilities into valuable product experiences; experience with agentic AI is an advantage. • Experience defining product strategy for platform infrastructure or developer experience in close partnership with Engineering, DevOps, or SRE. • Familiarity with product-led growth, self-service adoption, and usage-driven product development. • Strong strategic judgment and prioritization skills, with the ability to balance customer needs, business objectives, and foundational platform and data investments. • Business-driven and customer-first mindset, supported by experience in customer engagement, market research, competitive analysis, and product analytics. • Excellent communication, presentation, and storytelling skills, with the ability to influence executive stakeholders and align cross-functional teams.