Top Tech Jobs & Startup Jobs in Israel

Lead strategy and execution of detection and response engineering for a global SaaS company. Own detection across SIEM, EDR/XDR, identity, cloud and SaaS telemetry; incident response; SOAR and automation; threat hunting; telemetry health; follow-the-sun operations; hiring and mentoring; and metrics for MTTD/MTTA/MTTC, false positives, and automation.

Lead cross-team defensive architecture and strategy across Corporate Security Engineering, Detection & Response, and Offensive Security. Identify control gaps, drive multi-team security initiatives, create KPI/measurement frameworks, and translate technical tradeoffs into executive-ready risk narratives. Improve operating model, ownership boundaries, and scaling for an AI-native, global SaaS environment.

Build, integrate, qualify, test, and troubleshoot multidisciplinary semiconductor manufacturing tools (optics, electronics, mechanics, software/algorithms) in a clean-room environment. Implement integration processes, verify tool performance, and produce technical documentation.

Owner of multidisciplinary systems from requirements through integration, validation, and field deployment. Define architecture and interfaces, lead integration and system-level testing, develop prototypes, analyze system behavior, troubleshoot cross-disciplinary issues, and coordinate across hardware, software, algorithms, sensing, and mechanical teams.

Lead design and delivery of end-to-end Generative AI solutions. Build and maintain production-grade Python backend services, LLM-powered RAG and agent systems, drive architecture decisions, mentor engineers, and evaluate emerging AI frameworks.

Coordinate and manage HR administrative processes, maintain and update internal systems, collect and consolidate data, produce operational and tracking reports, and provide ongoing administrative and operational support to team members and managers.

Lead end-to-end product lifecycle to build an ad campaign management solution integrating agentic AI workflows. Define technical requirements, KPIs, user stories, and acceptance criteria. Partner with engineering, ad ops, and client experience to design web interfaces, measure adoption, and iterate on features for scalable customer data processing, activation, and automation.

Lead architecture and delivery of cloud-native, Kubernetes-based features; design systems, write design docs, decompose ambiguous AI-driven problems into shippable work, operate high-scale production systems, mentor engineers, and apply AI tooling to product engineering.

Lead strategy, roadmap, and execution for Sentra's Data Classification domain. Define discovery, classification, enrichment, and operationalization of sensitive data across cloud/SaaS. Partner cross-functionally with Engineering, Data Science, Design, GTM, and customers to deliver and measure impactful product outcomes.

Lead product and engineering for an agentic web search AI system: set technical/product direction, deliver LLM-driven agentic architectures, own large-scale data pipelines and web-scale crawling/caching/indexing, and scale API infrastructure from millions to billions of calls while ensuring reliability, performance, and cost-efficiency.

Lead design and development of high-performance backend services for large-scale data ingestion. Optimize low-latency processing, drive architecture, mentor engineers, collaborate with Product/SRE/QA/Security, and lead reliability/root-cause analysis for distributed systems.

Design, build, and operate large-scale distributed data pipelines across regions. Author PySpark and Airflow jobs, ensure data quality and observability, implement distributed tracing, and maintain CI/CD and testing for production deployments.

As a Game Economist, you will design user experiences, analyze player behavior, price virtual currencies, and build predictive models for game balance and economy health.