Jobs in Tel Aviv-Yafo

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 a passionate and experienced Software Engineer to join our Networking Group. In this role, you will play a key part in developing our cloud-based, proprietary networking and security management solutions. You will also design and implement highly scalable processes for gathering and analyzing real-time network statistics, events, and large-scale data. Responsibilities: • End-to-end backend development: from processing large-scale data to designing efficient microservices. • Develop and enhance high-performance, scalable services. • Improve the reliability, security, and scalability of existing infrastructure. • Work closely with cross-functional teams including Product, Data, Security, and UX. • Research and adopt new technologies to improve our products. Requirements: • 4+ years of hands-on experience in backend development. • Strong expertise in Java, and Spring Boot, (Go - advantage). • Experience with using and implementing RESTful APIs (GraphQL - advantage) • Basic understanding of networking concepts (e.g., TCP/IP, DNS, DHCP, VPN, network protocols). • Deep understanding of Object-Oriented Programming and software engineering principles. • Experience with databases: NoSQL (Elasticsearch, Redis, MongoDB) and relational (MySQL, PostgreSQL). • Familiarity with microservices architecture and technologies (Docker, K8S). • Experience with AWS technologies - advantage • Proven experience in big data applications – advantage. • Experience with FE technologies and JavaScript - advantage (React and TypeScript - big advantage) • Experience working with AI tools such as Claude, codex- advantage • Strong problem-solving skills, self-learning ability, and team collaboration mindset. • B.Sc. 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. Data is at the heart of every business—and as AI changes how organizations use it, protecting and governing that data has never mattered more. We’re looking for a Senior Product Manager to join our AI & Data Security department and shape how enterprises discover, understand, govern, and protect their sensitive data. You’ll bring proven experience in this domain, a strong product perspective, and the drive to turn complex security challenges into products customers love to use. The opportunity You’ll own a strategic product area spanning Data Security Posture Management (DSPM) and data governance, with meaningful influence over its vision, roadmap, and execution. Working closely with customers, engineering, security researchers, and design, you’ll build capabilities that help organizations answer essential questions: Where is our sensitive data? Who can access it? Where are we exposed? And what should we do next? This is an opportunity to combine technical depth, customer insight, and product judgment to deliver measurable impact—and help enterprises adopt AI with confidence. What you’ll do • Define the product vision, strategy, and roadmap for your area, connecting customer needs, market opportunities, and business goals. • Lead discovery with enterprise customers and security and governance teams to understand their challenges, validate opportunities, and shape solutions. • Drive capabilities across sensitive-data discovery and classification, exposure management, access governance, risk prioritization, and remediation. • Translate complex technical and policy requirements into intuitive workflows, clear product requirements, and actionable development priorities. • Partner with engineering, research, and design throughout the product lifecycle, making thoughtful tradeoffs around value, usability, accuracy, scale, and performance. • Work with sales, marketing, and customer success to bring capabilities to market, communicate their value, and drive adoption. • Define success measures and use customer feedback and product insights to improve outcomes continuously. • Help shape our broader data security strategy as enterprise environments and AI use cases evolve. What you’ll bring • 3+ years of product management experience building B2B enterprise software, including substantial experience in data security, DSPM, or security-focused data governance. • A proven track record of delivering products in this domain, with examples of capabilities you owned, customer adoption, and the impact they achieved. • A strong understanding of sensitive-data discovery and classification, data exposure, permissions and access controls, and security or governance policies. • Technical fluency in cloud and enterprise data environments, with the ability to discuss architecture, integrations, and technical tradeoffs confidently with engineering teams. • Strong customer discovery skills and the ability to turn complex, sometimes conflicting needs into a clear product direction. • Experience owning a product area from strategy through launch and iteration, balancing long-term ambition with focused delivery. • Clear communication and the ability to align teams, influence decisions, and explain complex ideas to different audiences. • Curiosity, initiative, and sound judgment when working through ambiguity. Experience that would be a plus • Data lineage, catalogs, retention, residency, or compliance and audit workflows. • DLP, database security, identity and permissions, or automated remediation. • Products spanning cloud, SaaS, and on-premises data environments. • Securing data used by AI applications, copilots, or agents. • Working directly with enterprise security leaders, data owners, and governance teams. Why this role You’ll work on a consequential problem with room to shape both the product and its direction. Your decisions will help customers understand their data, reduce exposure, and put governance into practice—while enabling their businesses to move forward. We value different paths into product management. If you bring proven experience in data security or security-focused data governance, strong product judgment, and the ambition to build something that matters, we’d love to hear from you—even if you don’t meet every preferred qualification.

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 Senior Automation Engineer to join our Automation team. As a member of this team, you will be responsible for the design, implementation, and maintenance of automated tests and infrastructure using our Java-based framework. Our Automated tests cover various aspects of the security product, including complex networking topology, traffic, security rules, Users authentication scenarios. Responsibilities • Design, develop, and maintain automated tests for complex, multi-layered systems using our Java-based framework • Drive initiatives to enhance automation infrastructure and tools to support seamless development and testing workflows. • Define, build, and maintain automation infrastructure, frameworks, and reusable libraries, to improve test execution reliability, reduce flakiness, shorten feedback loops, and increase confidence in automation results. • Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation • Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution • Enable QA automation engineers and developers with reusable components, templates, tools, dashboards, CI/CD integrations, and best practices. • Translate automation data into actionable insights for automation engineers, developers, product teams. • Identify gaps and develop tools and solutions to improve automation efficiency, stability, and scalability • Collaborate with development, product, and cross-team automation groups to ensure high-quality delivery and unified standards Requirements • 7+ years of experience in test automation for multi-layered complex systems • Strong coding skills with OOP/OOD principles (Java, C#) • Experience with load and performance testing (Jmeter, K6, Gatling) • Experience with cloud platforms (AWS, Azure, GCP) • Strong understanding of network protocols (L3–L7) • Strong understanding of automation architecture, CI/CD integration, and scalable execution infrastructure using Docker, Kubernetes, and cloud environments. • Experience designing, building and maintaining automation frameworks and test environments • Practical experience using AI-based tools to improve software development or test automation workflows (e.g. test generation, code assistance, failure analysis, or test optimization) • Familiarity with identity providers (LDAP, AD, Okta, Azure AD) • Demonstre a strong ownership mindset and exceptional communication skills to mentor teams toward continues engineering excellence.

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 a Field Operations EMEA Manager to join our Revenue Operations team, partnering with Sales leadership and executives to drive pipeline analysis, sales cadence, forecasting, and productivity insights - playing a critical role in optimizing GTM processes and enabling strategic, data-driven decisions across a rigorous sales operating rhythm. Key Responsibilities • Serve as the operational counterpart to sales leaders in executing against sales KPIs and business objectives. • Translate data into actionable insights and recommendations that improve sales productivity and performance. • Use AI tools and automation to streamline recurring work, accelerate analysis, and improve decision-making. • Support strategic planning and regional initiatives. • Monitor sales performance, track success metrics, and measure improvements. • Identify early warning signs and partner with sales leaders on preventative actions and corrective plans. • Ensure data integrity, accuracy, and consistency across reporting. • Monitor forecasts, identify risks and opportunities, and improve forecast accuracy. • Support regional budget planning, territory planning, target setting, and ramp-up planning. What You’ll Do • Pipeline & Forecast Analysis: Own analysis of the sales pipeline from leads through closed deals. Prepare bookings reports, pipeline analyses, and dashboards that highlight trends, coverage, funnel risks and opportunities, and progress toward targets. Partner with sales managers on forecast calls to ensure accurate data, current forecasts, and informed decisions. • Operational Cadence & Reporting: Support sales operating rhythms, including manager check-ins, weekly pipeline reviews, forecast reviews, and Quarterly Business Reviews. Consolidate data from multiple sources into performance reviews that explain the story behind the numbers. Clearly communicate findings and recommended actions to regional VPs and the executive team. • Territory & Capacity Planning: Support regional leadership with budget planning, territory design, target setting, and ramp-up planning. Evaluate sales capacity, identify areas requiring investment or management attention, and recommend how to distribute resources across teams. • Sales Performance Insights: Analyze key sales metrics, including pipeline generation, coverage, win rates, conversion rates, sales cycle length, and retention. Identify trends and bottlenecks, investigate underlying causes, and recommend actions that improve sales productivity and outcomes. • AI & Process Improvement: Identify and implement practical uses of AI and automation across sales operations. Examples include accelerating analysis, summarizing pipeline and forecast changes, drafting business review narratives, and automating recurring reporting tasks. Measure the impact on time saved, accuracy, or business outcomes, and document effective workflows so others can use them. • Visualization & Storytelling: Maintain dashboards and reports that give stakeholders timely visibility into business performance. Translate complex findings into clear executive presentations, highlighting what changed, why it matters, and what action to take. • Data Quality & Validation: Maintain reliable reporting and CRM data. Validate AI-generated analyses, calculations, and summaries against source data, apply business judgment, and use company-approved tools in accordance with data privacy and security requirements. Requirements • Demonstrated hands-on experience and results are required; a college degree is not required. • 3–4 years of experience in Revenue Operations, Field/Sales Operations, or a similar role in a B2B environment. Experience in SaaS or a high-growth technology company is a plus. • Practical experience using AI tools in business workflows, with the ability to describe specific use cases, your approach, and the results achieved. Relevant examples include analysis, reporting, research, business review preparation, or process automation. • Ability to frame clear questions for AI tools, provide relevant context, refine outputs, and independently verify accuracy. Know when additional analysis or human judgment is needed. • A continuous improvement mindset, with the ability to identify repetitive work and build repeatable workflows using AI, automation, and existing business systems. • Excellent analytical skills, strong attention to detail, and a commitment to accuracy. Ability to turn complex data into actionable recommendations and communicate the story behind the results. • Understanding of go-to-market strategy, B2B sales processes, and basic financial principles. • Solid understanding of SaaS and sales performance metrics, including pipeline coverage, sales cycle length, win rates, conversion rates, and retention. • Strategic thinking and a results-oriented approach to operational excellence. • Excellent communication and collaboration skills, including experience partnering with sales leaders, account executives, and cross-functional teams. • Strong presentation, data visualization, and executive storytelling skills. • High proficiency in spoken and written English. • Proficiency in Excel, SQL, and Tableau for analysis and visualization; Salesforce CRM, including report and dashboard creation and data quality management; and Clari or a similar forecasting and pipeline management tool.

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 seeking a highly energetic and talented security analyst to join Cato Networks' Managed Detection and Response (MDR) team. As an MDR security analyst, your primary responsibility will be to identify and respond to security threats across our service customers. You will utilize the groundbreaking Cato Threat Hunting System to proactively seek out unknown threats and enhance Cato Networks hunting capabilities. Leveraging the Cato Cloud data warehouse, you will develop threat hunting technics to effectively detect and address security threats. Moreover, you will serve as a trusted advisor to our MDR service clients, providing valuable insights into their security posture and the threat landscape they face This position offers an exceptional opportunity for network security enthusiasts who are passionate about Network Security, Malware Analysis, Threat Hunting, and Threat Intelligence. Responsibilities • Act as a Customer Security Advisor, conducting threat-hunting activities and performing security assessments on customer networks. Effectively communicate findings, recommendations for remediation, and mitigation strategies to customers • Serve as an escalation point for the SOC analysts, assisting in the investigation, analysis, and response to security incidents • Develop cyber kill-chain indicators of an attack and hunting heuristics to enhance the ongoing threat-hunting process • Enhance the product accuracy and its capacity to detect emerging threats within the dynamic security landscape Requirements and skills • Proven hands-on experience in the cybersecurity industry • Excellent customer service skills • Strong knowledge of networking architecture and protocols, including TCP/IP, DNS, SSL, SMB, HTTP, IP Routing, etc. • Comprehensive understanding of the cybersecurity landscape, common threats, and attack scenarios, such as malware infections, command and control (C&C) communication, drive-by attacks, phishing, and network scans • Practical experience with security technologies, including firewalls (FW), intrusion prevention systems/intrusion detection systems (IPS/IDS), antivirus (AV), security information and event management (SIEM) systems, endpoint protection, and network forensics tools • Analytical mindset, capable of formulating hypotheses and validating them through in-depth analysis and technical evidence • Fluent in English with exceptional communication skills • Proficiency in at least one scripting language such as Python or Ruby • Advantageous: Experience with Extended Detection and Response (XDR) solutions • Advantageous: Previous experience working in Managed Security Service Provider (MSSP) or Managed Detection and Response (MDR) providers as a Threat Hunter or Security Analyst • Ability to work effectively as a team player, demonstrating responsibility and strong organizational skills Education • Advantage – BSc. in Computer Science, Information technology, Mathematics or similar

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 hands-on Agentic AI Engineer to build practical, high-impact AI solutions for our Product Support organization. This is not a research role. You'll design and ship real AI systems that improve support workflows and processes - building custom solutions where off-the-shelf tools fall short. The role also requires close collaboration across teams: aligning with different stakeholders' needs and priorities, and building strong, ongoing partnerships across the organization. Responsibilities: • Partner directly with business teams to identify automation and optimization opportunities • Design and implement agent-based AI workflows to automate internal processes end-to-end • Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain • Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows • Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations • Take solutions from idea → prototype → production • Governance, Reliability & Security • Ensure AI workflows comply with security, privacy, and compliance requirements • Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed • Monitor AI performance, errors, hallucinations, and drift • Collaboration & Enablement: • Partner with business owners to identify automation opportunities • Translate business requirements into AI-driven solutions • Document AI flows, decision logic, and operational runbooks • Educate internal teams on AI capabilities and limitations Requirements: • 3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code • 2+ years of GenAI development experience, with strong AI/ML focus - MUST • Strong Python skills and production mindset - MUST • Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems • Experience with LangGraph, crewAI, Strands or similar orchestration frameworks • Experience in enterprise grade agentic solutions and bringing Agents into production • Experience in AWS Agent Core - Advantage • Solid understanding of ML workflows and MLOps principles • Strong analytical skills and ability to work directly with non-technical stakeholders • Builder mindset: proactive, independent, and impact-driven • Experience with Agentic AI driven applications like n8n, UiPath, Make –Advantage • Experience or familiarity with the Support domain – 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. At Cato Networks, we're rebuilding the network from the ground up as a secure, global cloud service. As the leader in SASE (Secure Access Service Edge), we are transforming how enterprises connect and secure their networks. We're looking for an experienced and technically skilled Product Manager to join our Network & Platform team, focusing on the Cato global backbone and platform. Position Overview You'll own the Cato backbone and platform strategy and roadmap, with the goal of a stable, resilient network that meets 99.999% availability. You'll be the focal point between Operations and Engineering. You'll define the capabilities that improve the network and drive them from priority to delivery. The role is mostly internal, with occasional work with customers and partners. Responsibilities • Own the Cato backbone and platform strategy and roadmap. • Define requirements for availability, redundancy, resiliency, and failure handling together with Operations and Engineering. • Set priorities, build the plan with both teams, and follow it through delivery. • Drive platform decisions on cloud deployments, fabric/interconnect providers, and traffic engineering. • Work with customers and partners on backbone-related needs as required. Requirements • Strong technical background in network design and architecture, with experience operating large-scale, global platforms. • Deep understanding of network availability and redundancy: failure domains, failover, capacity planning, and designing for five-nines. • 5+ years in product management or network operations in cloud or networking environments. • Knowledge of cloud platform deployments, fabric providers, Service Provider networks, and traffic engineering. • Strong cross-functional skills: you can align Ops and Engineering and drive execution without direct authority. Advantages • Background in network operations (NetOps/NOC).

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. About the Job: • Support the entire Israeli payroll process including collecting, validating, and updating data in payroll systems in an accurate and timely manner. • Maintain a high degree of service and confidentiality • handling onboarding and terminations processes and paperwork. • Continuous updates of Hilan payroll system and employee’s database. • Act as a point of reference on payroll related questions and requests – in a professional and helpful manner. • Successfully maintaining internal and external work interfaces – HR, Finance and Admin teams, Insurance Companies, official authorities etc. Requirements: • Certified Payroll Controller and attendance in tutorials and seminars - must. • 2-3 years of experience in preparing/assisting payroll process. • Proficiency with payroll-related systems and software –MS Excel (must), Hilan (preferable). • Desire to learn and specialize in the fields of Israeli’s salary: personal income tax, labour laws and social benefits. • Ability to prioritize, multitask, meet deadlines, and collaborate effectively. • Excellent verbal and written skills in both English and Hebrew. • Excellent interpersonal and communications skills, Customer service oriented. • Strong personal ethics. • High level of accuracy, attention to detail and exceptional organizational skills. • Motivated, fast learner, and responsible.

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. About the Role Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! We are looking for an experienced IT System Engineer to join our global IT team. In this role, you will take ownership of critical enterprise infrastructure across cloud, identity, networking, virtualization, and SaaS environments. You will work closely with Security, DevOps, Engineering, and IT teams to build secure, scalable, highly available infrastructure while driving automation and operational excellence. We are looking for someone who combines strong hands-on technical skills with a systems mindset — someone who can troubleshoot complex issues, automate repetitive work, improve existing architecture, and lead infrastructure initiatives from design through production. Key Responsibilities • Manage and improve cloud infrastructure, primarily in AWS, with exposure to Azure, GCP, and other cloud platforms. • Own identity and access management across cloud and SaaS environments, including Entra ID, SSO, IAM, RBAC, and user lifecycle processes. • Administer and troubleshoot Microsoft 365, VMware, networking, and other core enterprise infrastructure. • Automate operational and administrative tasks using Python, PowerShell, APIs, Infrastructure as Code, and AI-assisted tools. • Use AI effectively for scripting, troubleshooting, documentation, analysis, and improving IT operational workflows. • Manage enterprise endpoints and device compliance using Kandji and Microsoft Intune. • Troubleshoot complex infrastructure, cloud, identity, and connectivity issues and act as an escalation point for the IT team. • Partner with Security and Engineering teams to improve access controls, infrastructure security, monitoring, and compliance. • Proactively improve reliability, scalability, documentation, and operational processes. Requirements • 5+ years of hands-on experience in Systems Engineering, IT Infrastructure, or Cloud Infrastructure. • Strong experience with AWS and enterprise cloud environments. • Strong knowledge of Microsoft 365, Entra ID, IAM, SSO, and identity federation. • Strong scripting and automation skills using Python and/or PowerShell. • Strong practical experience using AI tools to accelerate scripting, troubleshooting, research, documentation, and IT automation, with an understanding of how to validate AI-generated output and use it securely. • Solid knowledge of networking fundamentals including DNS, DHCP, routing, VPNs, and firewalls. • Strong hands-on experience with MDM and endpoint management, including both Kandji and Microsoft Intune. • Hands-on experience with VMware vSphere/ESXi. • Experience with APIs and automation tools; Terraform experience is an advantage. • Strong troubleshooting skills and the ability to independently own complex technical issues. • Self-driven, hands-on, and comfortable working in a fast-paced global environment. Personal Attributes - Excellent interpersonal and communication skills. - Self-starter with strong troubleshooting and analytical skills. - Adaptable and thrives in a dynamic, rapidly changing environment. - Able to manage multiple priorities and work independently under pressure. Why Join Cato Networks? Be part of a transformative cloud-native company that’s reshaping secure networking. We’re scaling rapidly and offer a unique opportunity to work on cutting-edge technologies in a global, mission-driven 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. We’re seeking a hands-on and forward-thinking System Team Leader to drive operational excellence across Cato’s global IT infrastructure. In this role, you will lead a team of skilled System Administrators, ensuring efficient delivery of IT services, robust infrastructure performance, and alignment with security, compliance, and SLA standards. The ideal candidate is a strong technical leader who thrives on problem-solving, innovation, and continuous improvement—capable of balancing day-to-day operations with long-term strategic initiatives. Responsibilities: • Lead and mentor System Administrators, managing priorities, workload, and professional development. • Oversee the installation, configuration, maintenance, and troubleshooting of IT services across corporate and R&D lab environments. • Manage cloud applications and services, including Microsoft 365, Intune, AWS, Azure, and endpoint security solutions. • Take end-to-end ownership of incidents and projects, ensuring timely escalation, proactive stakeholder communication, and follow-through to completion. • Identify operational gaps, anticipate risks, and independently drive improvements that prevent recurring issues. • Monitor and optimize network performance, availability, utilization, and Quality of Service (QoS). • Maintain compliance with corporate security standards and applicable regulatory requirements. • Improve operational efficiency through scripting, APIs, workflow automation, and AI-assisted IT operations. • Track SLA attainment, service availability, resolution times, and backlog health; use these measures to prioritize improvements and strengthen service reliability. Requirements: • At least five years of System Administration experience, including three years in a managerial or leadership role (must). • Proven expertise in Windows, macOS, and Linux environments and administration best practices (must). • Extensive hands-on experience with routing, switching, firewalls, and VPN solutions (must). • Demonstrated experience managing hybrid-cloud infrastructure (must). • Ability to automate IT operations using Bash, Python, or PowerShell (must). • Familiarity with AI-assisted IT operations, API integrations, and workflow automation platforms (advantage). • Excellent written and verbal communication skills in Hebrew and English. • Availability for on-call duty and urgent response outside regular working hours in case of critical outages (must). Personal Skills: • Strong leadership and interpersonal skills, with clear communication and accountability. • Analytical and creative problem-solving, with the initiative to identify opportunities and deliver measurable improvements. • Ability to manage competing priorities and projects while maintaining ownership through completion. • A structured, resilient approach under pressure and a commitment to continuous learning. • Approachable, hands-on manager and a true team player, fostering collaboration, trust, and open communication.

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 Software Engineer to join the Research & Infrastructure team in our Security Research group. You'll build the systems behind Cato's security research and help turn that research into product capabilities. You'll work closely with researchers across the group to understand what they need, and you'll own each solution from requirements and architecture through implementation and delivery. Our team builds platforms for threat intelligence, malware hunting and attack analysis, along with scalable pipelines for processing large volumes of data. AI tools are part of how we design, build, test and research every day. Responsibilities • Own the full development lifecycle of systems and applications: gather requirements, define technical specifications, design the architecture, and build backend services and web interfaces. • Build threat intelligence, malware hunting and attack analysis platforms that support Cato's security operations and its Managed Threat Detection & Response (MDR) service. • Build tools that let researchers investigate threats, develop security content and create detection signatures. • Design the workflows and infrastructure that bring research outputs into Cato's customer-facing products. • Build scalable data processing and analysis solutions on the Cato Cloud data warehouse, automate protocol analysis, and integrate with internal and external services. Requirements • 3+ years of server-side development in Python. • 3+ years of web development with modern frameworks. • A strong grasp of software engineering fundamentals, including system architecture, code design and end-to-end development. • Proven ability to turn stakeholder needs into clear requirements and working technical solutions. • Experience with relational and NoSQL databases such as MongoDB, Elasticsearch, MySQL and Redis. • Ability to use AI tools effectively in daily engineering work and critically evaluate their output. • Strong ownership, initiative and organizational skills. • Excellent communication and collaboration skills, with fluent English. • BSc in Computer Science or a related field. Advantages • Experience with React. • Experience with big-data technologies such as Apache Spark. • Background in security or networking.

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 highly motivated Support Enablement Engineer to join our amazing team. As a member of the Support Enablement team, you will play a critical role in enabling Support Engineers to execute all technical aspects of their job and will work to maximize the support organization’s effectiveness. Responsibilities • Advocate for support and customer needs with R&D and Product teams during feature development, as well as retroactively for existing technologies. • Identify and understand support inquiries and challenges, act as their technical focal point, and work to fill knowledge gaps. • Build troubleshooting practices to reduce ticket resolution time and maximize support performance. • Own and drive the delivery of technical content and knowledge-sharing initiatives to the global Support team. • Provide guidance on product features and how they work through the creation of technical content. • Design and create technical onboarding and everboarding training content. Requirements • At least 2 years of experience as a Tier 2–3 Support Engineer in a web, networking, or information security company, or equivalent experience as a Technical Account Manager or Pre-Sales Engineer. • Experience working with networking or security software solutions, with an emphasis on networking, TCP/IP, firewalls, and proxy servers – required. • Strong English communication skills, both verbal and written – required. • Excellent communication and presentation skills, with the ability to clearly articulate complex topics to different audiences in a concise, professional, and compelling manner. • Ability to provide constructive criticism and feedback, and use it to advocate for customer, partner, and support needs with different departments across the company. • Experience working in a Knowledge Management or Knowledge team, or proven experience creating technical guides and knowledge-base articles – an advantage. • Great troubleshooting abilities and a passion for diving into complex technical problems in real production environments. • Team player, responsible, and well-organized.

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. About the role We’re building a new product at the intersection of AI and data security - with startup speed, real ownership and Cato’s enterprise scale behind us. Join Cato DataSec to turn complex security data into a product that helps enterprises adopt AI with confidence. This is an opportunity to shape a product from its earliest stages: solve open engineering problems, make architectural decisions and get working software into customers’ hands. You’ll build on Cato’s global SASE cloud, with real customers and real data from day one. The engineering spans distributed systems, high-volume data processing, advanced analytics and the frontend experience that brings them together. The challenge is turning fragmented signals into intelligence that customers can act on - quickly, reliably and at scale. What you'll do • Ship complete features. Own capabilities end to end, from data pipelines and backend services through APIs and frontend implementation, rollout and iteration. • Find connections in complex data. Develop correlation and analytical capabilities that turn large volumes of security events into meaningful insights. • Build for scale. Design and operate streaming and batch pipelines, balancing throughput, latency, correctness and cost. • Shape the architecture. Make decisions across backend services, data processing and analytics, and validate them against production behaviour. • Stay close to the customer problem. Work with Product, Research, Data Science and security teams to turn emerging needs into shipped capabilities. • Own what you ship. Investigate issues, improve performance and reliability, and keep raising the quality of the product. Our stack includes Java/Spring Boot, Kafka, Spark/Flink, ClickHouse/Athena and AWS. Who we're looking for You’ve built something substantial and stayed with it after launch. You can explain the decisions you made, the constraints you worked around and what changed once real users arrived. You’ve taken an unclear problem, worked out a practical approach and shipped a useful first version. You make progress without waiting for every detail to be specified, and you know which assumptions need testing before moving ahead. You want to remain hands-on across the product: writing backend code, building frontend flows and owning production outcomes. You follow a feature through to a usable customer experience, including work outside your strongest area. Your background might be a startup, a large-scale platform, a technology unit or research. Math, engineering and other non-CS paths are welcome. What you’ve built - and how you approached it - matters more than a perfect CV. Requirements • 5+ years of hands-on backend or software engineering, including production delivery. • Built and operated a data-intensive system, pipeline or analytics service. • Production experience with distributed systems and event-streaming infrastructure. • Shipped a user-facing feature end to end, with hands-on contributions to both backend and frontend implementation. • Can explain technical tradeoffs using concrete examples involving scale, reliability, performance or data correctness. • Can walk through a production issue you diagnosed and how you verified the fix. Advantages • Correlation, similarity or entity resolution: matching, identity graphs or near-duplicate detection. • Data or AI security: DLP, CASB, DSPM, insider risk or AI-security systems. • Spark plus ClickHouse/Athena: pipeline development and analytical performance. • Flink or systems processing billions of events per day. • AWS, privacy engineering or production ML capabilities. • Startup, founding-team or zero-to-one product experience. Why join Build at an early stage with the reach of an established security platform. You’ll influence the architecture, work through problems without a ready-made playbook and see your decisions tested by enterprise use. If you want your next role to include “built it from scratch” and “owned it in production,” we’d like to hear from you.

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 Application Security Researcher to join us. In this critical role, you will assist us in validating our services and environments according to the highest security standards. Also, You will work closely with our R&D and Product teams, and solve complex security problems. Responsibilities: • Continuously checking and improving security measures to protect our systems. • Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem. • Helping developers follow secure coding practices and learn how to prevent security risks. • Staying updated on new security threats and best practices to keep our security standards high. • Contributing to Cato’s security research blog. • Evaluating the security of AI and agentic systems, and applying AI-assisted tools to security research. Requirements: • At least 3 years of experience in application security or vulnerability research. • Hands-on experience in penetration testing for web, mobile, infrastructure, and thick client applications. • Experience bypassing security tools like RBI, EDR, and DLP. • Programming skills, with a preference for Java, Go, or C. • Ability to find and fix security flaws in open-source libraries and third-party software. • Knowledge of supply chain attacks and how to prevent them. • Hands-on experience with AWS cloud attacks and mitigations (preferred). • Understanding of microservices architectures, Docker, and Kubernetes. • Strong problem-solving skills and the ability to work independently. • Good communication skills and a passion for sharing knowledge. • Understanding of network security and encryption protocols. • Familiarity with AI and agentic systems, including their security risks and testing approaches. Additional Skills (Preferred): • Experience using SAST/DAST tools for static and dynamic code analysis. • Experience working in Agile teams and collaborating with different departments. • Security certifications like OSCP, CRTP, OSWE, or similar. • Ability to lead security projects and initiatives. • Adaptability to a fast-paced environment. • Knowledge of current security threats and how to defend against them. • Experience with writing security blogs, CVE research, or bug bounty programs is a plus. • BSc in Computer Science- an 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. 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. The mission is to protect how the world adopts and builds with AI - from the world’s biggest enterprises to fast-moving disruptors. We tackle hard, unsolved problems in AI, cloud, and data security - the kind that shape the next decade of technology. Our products already serve Fortune 500 customers and forward-thinking organizations worldwide, and we’re just getting started. We’re looking for a Senior Software Developer who combines strong technical skills with product intuition and a sense of ownership. You’ll work across the stack - from infrastructure to backend services and intuitive UI/UX - building scalable, high-impact systems that shape how organizations secure their AI. What you’ll do • Own and run major features and subsystems end-to-end — you’ll take ideas from concept to production and beyond (monitoring, iteration, refinement). • Work across the full stack: infrastructure, platform, backend services, APIs, and UI/UX. You’ll be comfortable shifting between “how do we deploy this reliably” to “how does the user experience this”. • Drive team culture of ownership, craftsmanship, iteration and delivery: we’re not just about shipping features but owning the outcome, learning fast, and improving continuously. • Mentor and support other engineers: bring in the best practices of maintainability, scalability, reliability, and product thinking. What you bring • 5+ years of hands-on programming in Python, Node.js, or Go (you know one well, and you’re comfortable picking up the others). • 3+ years working with AWS, Kubernetes, and RDS (you know your way around cloud-native deployments, scaling, and persistence). • B.Sc. in Computer Science / Engineering or equivalent experience from a technological army unit. • Proven experience leading major projects: you’ve owned significant codebases or systems, taken them from design to delivery, and driven them into production. • Fullstack mindset: you’re comfortable crossing infra/devops/backend/frontend boundaries; you look at problems end-to-end. 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. Cato Networks is looking for a bright, passionate and experienced Apple Platforms Software Engineer to join the Cato team. In this critical role, you will be developing our Client Application which is used by hundreds of thousands of users worldwide. You will be owning aspects of the application’s full life cycle, from design, and development to CI/CD. Responsibilities: • End-to-end ownership of our macOS/iOS clients, designing, developing and delivering new features from scratch. • Assisting DevOps with maintaining and enhancing our build system. • Researching Apple platform and ecosystem for relevant technologies. • Support the entire application lifecycle, including release management and supporting production. • Collaborate with QA, automation, product-management and other engineering teams to deliver integrated features. Requirements: • 4+ years of experience developing for macOS and/or iOS. • Proficiency in Swift and Objective-C. • Deep understanding of a range of Apple’s core technologies. • Experience with SwiftUI and modern Apple development practices. • Deep understanding of Apple’s multithreading models. • Excellent understanding of software engineering principles. • Passionate about delivering a great user experience. • Motivated and independent fast learner who is great at problem-solving. • A team player with excellent communication and collaboration skills. • Computer Science degree from a recognized higher education institution or equivalent experience. Major advantages: • Experience developing and integrated cross-platform C/C++ components. • Prior experience developing VPN clients. • Prior experience developing Endpoint Security clients. • Background in low-level system programming or macOS internals. • Extensive experience with Networking and Network Protocols on Apple platforms. • Apple Network Extension or Endpoint System Extension development experience. • CI/CD pipeline development and maintenance. • Knowledge of sandboxing, notarization and macOS security best practices. • Experience developing App extensions. • Experience developing Daemons and Launch Agents. • Acquaintance with macOS System Administration.

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 talented and a Senior Software Engineer to join the Cato Apps Team (AI) - the team building Cato's agentic harness and intelligent agent ecosystem, powering how customers interact with Cato's SASE platform, supporting and enabling all of Cato agentic solutions. This team is at the forefront of Cato's AI innovation, building AI-native systems and agentic harness that transform how IT and security teams operate, troubleshoot, and make decisions. In this role, you'll help shape and build the foundation of Cato's AI-powered management and support experience, directly impacting thousands of global customers by making Cato's platform smarter, faster, and easier to use by leveraging the power of AI. Responsibilities: • Design and develop Cato's Agentic Infrastructure, leveraging state-of-the-art technologies to build highly scalable, AI-native end-to-end services — from backend logic and service integration all the way to AI-first products such as Cato's AI Assistant. • Design build and deliver features covering all application layers, FE, BE, pesistance including responsibility on the deployment, and production monitoring of delivered features. • Collaborate closely with AI/ML engineers, product managers, and UX designers to define and deliver intelligent, conversational and none conversational AI powered capabilities. • Drive innovation and bring new ideas for AI-based automation, autonomous workflows, and insight generation across the platform. Requirements: • 7+ years of software-development experience, with strong Java fundamentals and experience building backend services and APIs. • Experience contributing to full-stack web applications, including Java backend services, React frontend development, and DB. • Familiarity with cloud-native development practices, including microservices, CI/CD, containerized deployments, and production monitoring. • Hands-on experience with AI-powered applications or LLM APIs, combined with a curious, collaborative mindset and eagerness to learn. Why join Cato: Cato Networks is the world's first SASE platform, connecting and securing enterprises with cloud-native simplicity. Joining Cato means working with passionate engineers who are reinventing enterprise networking and security - with AI at the core of the experience.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Head of Proactive Security to establish and lead the Proactive Security pillar. Reporting directly to the CISO, this leader will manage the Red Team, Penetration Testing, Threat Hunting, and Threat Intelligence teams.  The role is responsible for anticipating relevant threats, challenging Nebius's defenses, identifying exploitable weaknesses, hunting for adversary activity that may evade existing controls, and converting findings into measurable security improvements.  This is a hands-on leadership position for someone who combines offensive-security depth, threat-led thinking, strong operational judgment, and the ability to influence product, engineering, infrastructure, and security stakeholders.  Your responsibilities will include: • Pillar strategy and leadership  • Define the Proactive Security strategy, operating model, roadmap, priorities, budget, and success measures in alignment with Nebius's business objectives and threat profile.  • Build, lead, and develop high-performing Red Team, Penetration Testing, Threat Hunting, and Threat Intelligence teams.  • Create a unified intelligence-led program in which threat intelligence informs testing and hunting, and findings continuously improve defensive controls.  • Prioritize work based on crown jewels, material attack paths, emerging threats, major technology changes, incidents, and business risk.  • Establish clear team charters, engagement models, escalation paths, quality standards, and career-development frameworks.  • Provide the CISO and senior leadership with clear visibility into adversary exposure, validated weaknesses, emerging threats, and remediation progress.  Red Team and adversary emulation  • Lead realistic, intelligence-led adversary simulations across cloud, identity, applications, infrastructure, endpoints, networks, and operational processes.  • Design campaigns that evaluate prevention, detection, response, escalation, and recovery capabilities against relevant threat scenarios.  • Develop and maintain adversary-emulation plans mapped to relevant threat actors, tactics, techniques, and procedures.  • Ensure every engagement operates under documented authorization, rules of engagement, safety controls, deconfliction procedures, and evidence-handling requirements.  • Deliver concise technical and executive reporting that explains demonstrated impact, attack paths, root causes, and prioritized improvements.  Penetration testing and continuous security validation  • Own the risk-based penetration-testing program for Nebius products, applications, APIs, cloud environments, infrastructure, and critical internal systems.  • Define testing standards, scoping criteria, methodologies, quality assurance, retesting, and reporting requirements.  • Coordinate internal testing and specialized external providers while maintaining consistent quality and risk prioritization.  • Partner with Product, Engineering, Infrastructure, and Security teams to integrate testing into major launches, architectural changes, and high-risk initiatives.  • Track findings through validation, remediation, exception, and closure, and identify systemic or recurring weakness patterns.  • Expand automation and continuous validation where it improves coverage without replacing expert-led testing and judgment.  Threat hunting  • Establish a hypothesis-driven threat-hunting program across endpoint, identity, cloud, network, workload, application, and SaaS telemetry.  • Prioritize hunts using threat intelligence, incidents, environmental changes, control gaps, and emerging adversary techniques.  • Search for active, historical, or previously undetected malicious behavior that may not trigger existing alerts.  • Turn validated hunt findings into new detections, telemetry requirements, response playbooks, hardening actions, and future hunt hypotheses.  • Define repeatable hunt methodology, documentation standards, evidence handling, and measurement of hunt effectiveness.  • Partner closely with Detection and Response, Incident Response, Security Engineering, and infrastructure teams during investigations and remediation.  Threat intelligence  • Own Nebius's threat-intelligence strategy, collection priorities, analysis standards, dissemination model, and intelligence lifecycle.  • Maintain a current view of threat actors, campaigns, vulnerabilities, geopolitical developments, and techniques relevant to Nebius, its customers, and its technology stack.  • Produce strategic intelligence for leadership, operational intelligence for defenders, and tactical intelligence that supports detections, investigations, hunting, and testing.  • Translate intelligence into clear changes to security priorities, control coverage, red-team scenarios, hunt hypotheses, and incident readiness.  • Establish reliable processes for source evaluation, confidence assessment, intelligence sharing, and secure handling of sensitive information.  • Build trusted relationships with industry peers, relevant communities, vendors, and information-sharing organizations.  Defensive improvement and governance  • Create a closed-loop process that converts proactive-security findings into owned, prioritized, and measurable remediation actions.  • Partner with Security Engineering, Detection and Response, Product Security, Cloud Security, IT, and Engineering to improve controls and reduce repeat findings.  • Ensure material findings are communicated promptly, tracked transparently, and escalated according to risk.  • Define reporting that distinguishes activity from outcomes and demonstrates improvements in resilience, coverage, and adversary readiness.  • Support major incidents with threat context, attack-path analysis, hunting, and specialist offensive expertise when required.  • Maintain strong legal, ethical, privacy, and operational-safety standards across all proactive-security activities.  We expect you to have: • Extensive cybersecurity experience, including leadership responsibility in offensive security, penetration testing, threat hunting, threat intelligence, detection engineering, or incident response.  • Proven experience building or scaling multidisciplinary security teams and programs, including budgets, vendors, and external testing providers.  • Strong technical understanding of modern cloud environments, identity systems, applications, APIs, networks, endpoints, containers, and production infrastructure.  • Demonstrated experience planning and delivering red-team operations, penetration tests, or adversary-emulation exercises.  • Practical knowledge of threat-hunting methodology, telemetry, detection logic, and investigation workflows.  • Experience producing and operationalizing strategic, operational, and tactical threat intelligence.  • Strong understanding of adversary behavior and frameworks such as MITRE ATT&CK.  • Excellent communication and executive-presentation skills, with the ability to translate complex technical findings into clear business risks, decisions, and remediation actions.  • Sound judgment regarding authorization, operational safety, confidentiality, evidence handling, and responsible disclosure.  It will be an added bonus if you have: • Experience in cloud, hyperscale, AI, or other highly distributed technology environments.  • Deep domain expertise, relevant certifications or equivalent practical experience, and a track record of responsible research or industry collaboration.  Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Tavily, part of Nebius, is the web access layer for AI agents. Over two million developers use us, and our customers include Fortune 500 companies running agents in production. Vertical search is where we combine public sources with premium vertical data and shape the result into a product for a specific use case. This role owns that layer end to end. You decide which industries and use cases we productize. With the data team, you find and evaluate the public and premium data providers behind each one. You shape the product surface that sits on top. You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue. The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another. In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next. This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market. Your responsibilities will include: • Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it. • Shape the product surface on top of the data, so a customer gets something built for their job. • Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in. • Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build. • Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it. • Work with customer success to learn what customers ask us for and what makes them leave. • Partner with the search owner on how results should be ranked and shaped for each use case. We expect you to have: • 5+ years of product management experience, with a meaningful portion in search, data, or industry-specific AI products. • Experience building products for a specific industry or use case, combined with enough technical depth to work directly on the data underneath: where it comes from, how good it is, and what it takes to make it usable. • A track record of real customer discovery: you have gone deep on how a particular kind of team works, and shipped something because of what you found. • Experience in API-first or developer-platform businesses. • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. • A technical background, through a degree in computer science or engineering or equivalent hands-on experience, with the ability to engage deeply with technical architecture and tradeoffs. • The ability to influence and align cross-functional stakeholders without formal authority. It will be an added bonus if you have: • Domain experience in market intelligence, news, financial research, or another data-heavy industry. • Background at a data provider, enrichment vendor, market intelligence platform, or vertical search company, or experience building vertical data products in-house. • Experience evaluating and working with external data providers, including judging quality and negotiating what you actually need. • Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for an experienced Security Architect to join the Cyber Security organization, reporting to the Security Architect Manager. This role focuses on designing and implementing secure architectures across corporate networks and cloud environments. You will play a key role in defining secure solutions, reviewing system designs, and ensuring security is embedded across enterprise infrastructure. The ideal candidate brings strong hands-on expertise in network and cloud security, along with the ability to work closely with IT, Infrastructure, DevOps, and Engineering teams to drive secure and scalable implementations. You’re welcome to work in our offices in Tel Aviv, Israel. Your responsibilities will include to: • Design and implementing secure architectures across corporate networks, cloud platforms, and hybrid environments. • Define and maintain security standards, guidelines, and reference architectures aligned with organizational requirements. • Review and approve architecture and design of new systems, infrastructure, and network changes. • Design and support secure enterprise network architectures, including segmentation, Zero Trust, and remote access solutions. • Define and implement controls for firewalls, ZTNA, proxies, and network access control (NAC). • Design secure cloud architectures including IAM, networking, and workload protection. • Ensure proper implementation of cloud security controls such as segmentation, encryption, and monitoring. • Define and support identity and access management controls, including SSO, MFA, and privileged access. • Contribute to endpoint security architecture, including EDR/XDR and device hardening standards. • Identify security risks and architectural gaps and recommend mitigation strategies. • Participate in architecture reviews, risk assessments, and security design discussions. • Collaborate with SOC, Vulnerability Management, IT, and Engineering teams to improve overall security posture. • Support implementation of security architecture initiatives and improvements across the organization. Cybersecurity Architecture • Define and maintain the organization’s cybersecurity architecture, reference architectures, security standards, and design principles. • Lead security architecture reviews for new systems, applications, infrastructure, and technology initiatives. • Translate threat models, business requirements, and risk assessments into practical security controls. • Establish security-by-design principles across cloud, infrastructure, application, and platform architectures. • Identify architectural security gaps and drive remediation roadmaps. Kubernetes and Cloud-Native Security • Design and implement security architectures for Kubernetes-based environments and cloud-native platforms. • Secure Kubernetes clusters, control planes, worker nodes, namespaces, workloads, and cluster-to-cluster communications. • Define and enforce Kubernetes security best practices, including RBAC, workload identity, network policies, admission controls, Pod Security Standards, and secrets management. • Secure container images and registries, including image scanning, provenance, signing, and supply chain integrity. • Implement runtime security, workload isolation, threat detection, and monitoring for containerized environments. • Secure Kubernetes ingress, service-to-service communications, APIs, and service mesh architectures where applicable. • Establish security controls for container orchestration platforms across development, testing, and production environments. • Evaluate and manage Kubernetes security risks, misconfigurations, excessive privileges, exposed services, and vulnerable workloads. Cloud Infrastructure Security • Lead security architecture across AWS and/or Microsoft Azure, including cloud-native and hybrid environments. • Define secure cloud landing zones, identity and access management, network segmentation, encryption, logging, and key management. • Implement preventive and detective security controls using cloud-native security services and centralized policy enforcement. • Drive cloud security posture management and remediation using CSPM, CNAPP, and related technologies. • Ensure alignment with organizational security requirements and relevant industry standards. Secure Development and DevSecOps • Integrate security throughout the Software Development Life Cycle (SDLC), from design and coding to deployment and production operations. • Partner with R&D, DevOps, and Platform Engineering teams to embed security into CI/CD pipelines. • Define and implement automated security controls, including SAST, DAST, Software Composition Analysis (SCA), secrets detection, and container image scanning. • Establish secure coding standards, threat modeling practices, API security requirements, and secure software supply chain controls. • Promote developer-friendly security tooling and reusable security patterns that minimize friction and accelerate delivery. • Drive remediation of vulnerabilities and architectural weaknesses in collaboration with engineering teams. Security Engineering and Risk Management • Develop technical security standards, architecture patterns, and security control baselines. • Conduct threat modeling, attack-path analysis, architecture risk assessments, and security design reviews. • Define security requirements for identity, access, data protection, network security, workload isolation, and observability. • Collaborate with Security Operations to improve security telemetry, detection capabilities, and incident readiness. • Evaluate emerging security technologies and recommend solutions based on risk reduction, operational effectiveness, and architectural fit. • Track security findings and drive measurable improvements in the organization’s security posture. We expect you to have: • 6+ years of experience in cybersecurity, with a focus on cloud security, networks, and/or SDLC • Experience working with cloud platforms (AWS, GCP, Azure) and cloud security best practices. • Strong hands-on experience in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.). • Solid understanding of identity and access management (IAM), Active Directory / Entra ID, and access control models. • Experience working in hybrid environments (on-prem + cloud). • Strong understanding of security architecture principles and risk-based design. • Experience working cross-functionally with IT, Infrastructure, DevOps, and Engineering teams. • Strong analytical and problem-solving skills. It will be an added bonus if you have: • Experience with Zero Trust architecture and network segmentation strategies. • Familiarity with cloud security tools (e.g., Wiz). • Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.). • Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.). • Experience in SaaS, cloud-native, or enterprise-scale environments. • Relevant certifications such as CISSP, CCSP, or equivalent. • BSc in Computer Science, Information Security, or a related field. Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and ownership • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.