Top Cybersecurity Jobs in Israel

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

Serve as primary liaison for Defence clients, build trusted stakeholder relationships, manage high-value contracts, ensure compliance with defence regulations and security requirements, lead governance and status meetings, and align commercial and operational delivery with long-term account strategy.

Technical lead for a 6-engineer team building and operating complex, large-scale LLM-powered security platform components. Own architecture, design docs, delivery, on-call operations, and mentor engineers while turning ambiguous AI/agent problems into shippable solutions.

Design, build, and operate scalable ML pipelines and infrastructure for training, fine-tuning, evaluating, deploying, and monitoring NLP and LLM models. Implement LLM-focused CI/CD, optimize runtime inference for low-latency/high-throughput, manage training environments and model registries, and ensure production performance, cost efficiency, and observability.

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.

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, 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

As a CyOps Analyst, you will investigate security alerts, conduct threat analysis, respond to incidents, and enhance threat hunting tools.

Design and optimize performance-critical low-level software (Linux and Windows) for runtime sensors using eBPF and a Windows kernel driver. Build monitoring and threat-detection features, optimize resource usage, own components end-to-end, and collaborate with product and R&D teams to deliver secure, high-stability solutions.

Manage and improve day-to-day finance operations including billing, revenue ops, payroll support, financial reporting, cash management, and audit readiness. Drive automation, maintain systems/data quality, support forecasting, M&A integrations, and partner with finance and GTM teams.

The Engineering Platform Manager will lead an engineering team, manage complex systems, and drive the evolution of a cloud-native security platform, focusing on architecture, team development, and AI-driven solutions.