Empleos en Israel

Join a cybersecurity product team to build scalable backend infrastructure and advance an autonomous investigation and response solution.

Own the strategy and end-to-end delivery of an enterprise browser initiative that enables, governs, and secures AI agents. The role is based in Tel Aviv and is primarily office-based, with some flexibility.

Lead software architecture and technical delivery for digital energy solutions, designing scalable cloud-native and edge systems and guiding cross-functional development teams.

Develop and prototype software across the stack, from applications and operating systems to drivers, firmware, and GPU programming. Work on emerging technologies including AI infrastructure, distributed computing, and networking.

Build and operate a cloud-native security platform, leading technical initiatives from architecture through production delivery. Use AI tools as part of daily software development and help raise the engineering bar.

Own technical product marketing for a cloud security platform, turning complex architecture and product capabilities into clear market messaging and practical assets. Partner with product, engineering, demand generation, and sales to support launches, buyer education, and pipeline impact.

Lead the lifecycle and performance of iLottery and iGaming games, from concept through launch and live operations. Shape game direction and use player data to improve engagement, retention, and monetization.

Own product strategy and roadmap for detection engines, content, and AI-native capabilities in a security analytics platform. Work across engineering, research, data science, marketing, sales, and customers to shape and deliver product improvements.

Manage business application projects from requirements discovery through implementation and go-live. Configure systems, build reports, troubleshoot issues, and support users.

Join a team developing embedded software and network-stack support for next-generation networking hardware used in distributed AI/ML systems. Work on system design, performance, reliability, and customer issues.