Top Cybersecurity Jobs in Israel

Design, build, and maintain backend agentic workflow engines and AI infrastructure that run autonomous security workflows in production. Develop APIs, ensure reliability, observability, and performance, and collaborate with researchers to productize AI capabilities.

The Business Operations Manager will drive initiatives to optimize cross-functional business processes, support growth, manage KPIs, and lead projects across teams.

As a Senior Security Researcher, you will conduct cybersecurity research in Automotive, AI, API, and IoT ecosystems, develop detection techniques, and collaborate with teams and clients.

The role involves building AI agents, developing permission mapping pipelines, ensuring system observability, and integrating with various platforms. Requires strong software engineering and AI experience.

Lead technical customer success across EMEA by managing customer relationships, onboarding, integration, troubleshooting, and driving product adoption while collaborating with engineering and sales teams.

The Director of Marketing will develop a comprehensive AI-driven marketing strategy to generate demand, build campaigns, and lead the marketing team, focusing on pipeline generation and market impact.

As a Product Manager, you will own product domains, engage with customers, define features, and collaborate with teams to deliver impactful solutions in a fast-paced environment.

Join the CTO Office to build proofs-of-concept, shape technical roadmaps, research emerging technologies, produce documentation and operational frameworks for enterprise deployments, support patent efforts, and align R&D, Product, and Customer Success.

Design, deploy, and operate AWS-based infrastructure using Kubernetes and Helm; automate workflows and CI/CD pipelines; manage edge security (WAFs, gateways, load balancers); improve reliability through monitoring, incident detection, troubleshooting, and automated recovery; build tooling and infrastructure-as-code with Terraform.

Lead end-to-end product design for an AI security and governance platform. Own product domains, translate complex AI/security workflows into intuitive UI, evolve the design system, collaborate with Product and R&D, conduct user-centered research, and deliver high-quality designs through developer handoff and iteration.

Design, build, and maintain scalable data warehouse infrastructure and pipelines. Enable analytics and product teams via data modeling, BI dashboards, data governance, and quality monitoring.

Serve as the primary technical liaison for customers, provide hands-on integration and configuration guidance, troubleshoot issues, lead technical deep-dives, collaborate with Product and Engineering on feedback, and manage stakeholder relationships to ensure long-term satisfaction and security outcomes.

Lead ownership of product documentation for an AI security platform: design and maintain GitBook-based docs, create quick-starts and API references, validate workflows via Kubernetes/Helm/Python/Bash, and collaborate with PM, Engineering, Solutions, and CSM teams to close content gaps and support enterprise deployments and sales enablement.

Build and lead Tier 2-3 technical support for an AI security platform. Troubleshoot complex issues across cloud environments, APIs, integrations, and distributed systems. Serve as primary escalation for advanced incidents, perform root cause analysis, work with engineering and security teams, assist with deployments, and create knowledge bases and support processes.

Build and operate scalable backend services for an AI security and governance platform. Collaborate across product, research, and platform teams, integrate with AI/LLM platforms and cloud providers, own architecture decisions, implement testing and observability, and troubleshoot production issues to improve reliability and resilience.

Lead product vision and execution for Noma's AI Security platform. Own end-to-end product strategy, prioritize roadmap, write PRDs, collaborate with engineering/design/data/security/GTM, drive customer-facing evaluations/POCs, and deliver features for data protection, AI governance, observability, and secure AI operations.

Design, build, and productionize LLM- and ML-based solutions to detect and mitigate AI security risks. Own end-to-end model lifecycle, integrate models into production data pipelines, collaborate with Product and Engineering, and lead research POCs to deliver pragmatic, explainable, enterprise-ready AI security features.

Design and lead enterprise AI security solutions: conduct technical discovery, architect cloud/hybrid deployments, integrate across AI/LLM systems and data pipelines, support pre/post-sale, advise CISOs, and influence product roadmap.

Lead product strategy and roadmap for an AI security and governance platform. Translate customer needs into product requirements, drive frontend and architectural decisions, collaborate with engineering, design, data, security and GTM teams, run POCs and customer evaluations, and deliver capabilities for data protection, governance, observability, and secure AI operations.

Lead frontend engineering efforts for an AI security platform: own UI components, influence architecture and best practices, drive cross-functional projects, and build responsive, accessible, high-performance interfaces.

Lead cross-team planning, dependency management, sprint oversight, and release coordination across engineering. Track R&D metrics, design AI-driven automations and workflows to automate reporting, risk detection, and delivery insights, and optimize tooling and processes to improve delivery efficiency.

Develop and design Windows low-level protection modules and critical components for an XDR platform. Implement and test kernel drivers and user-mode OS infrastructures in C++, collaborate with Research and Product teams, mentor core developers, and produce design documents and development best practices.

Design, implement, and maintain multi-cloud, multi-region infrastructure and platform services. Automate infrastructure with IaC, operate Kubernetes and observability systems, manage data pipelines, and ensure security, reliability, and scalability while advising R&D teams and troubleshooting complex networking and platform issues.

The Senior Data Engineer will build and own the ClickHouse analytics platform, lead data migrations, optimize queries, and ensure ingest reliability while educating the team.

The Global Technical Support Manager will lead a team in troubleshooting technical issues, ensuring excellent customer support, and documenting solutions effectively. This role requires a strong background in cloud technologies and leadership experience.