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A cybersecurity technology company is seeking a Senior Data Infrastructure Engineer to build, optimize, and maintain secure, scalable data and analytics infrastructure.

Own search infrastructure for an AI-powered financial intelligence platform. Build retrieval services that combine keyword and semantic search to deliver relevant financial content with low latency.

Join an AI software company building an enterprise context platform for agents and developers. Own high-throughput indexing, real-time data pipelines, graph traversal, hybrid retrieval, and low-latency query systems.

Join a software development team working on complex control and intelligence systems. The role offers hands-on experience across the full development lifecycle, from planning and implementation through integration.

Join an autonomous mobility technology team developing methods to validate the safety of autonomous vehicle systems. The role focuses on SOTIF analysis, measurable safety KPIs, risk mitigation, and scalable validation approaches, working with engineering teams, customers, regulators, and automotiveہ

Join a cybersecurity company’s Competitive Intelligence team to evaluate competitor products, assess technical claims, and deliver evidence-based insights for product strategy, positioning, and customer discussions.

Lead end-to-end technology projects and coordinate systems integration, production support, and technical delivery across internal teams and external vendors in a complex financial-sector environment. The role is hybrid, with four days on site and one remote day each week.

Join an analytics software company as a customer-facing technical partner for Account Executives across EMEA. Lead discovery, solution design, demonstrations, and proofs of concept for an AI-powered embedded analytics platform. The role is based in Ramat Gan and follows a Monday-to-Friday schedule,,

A growing AdTech company in Tel Aviv is seeking a hands-on technical operations professional to manage integrations, troubleshoot data flows, analyze issues, and develop scalable automation workflows.

Own the systems, processes, data, and reporting that support a B2B SaaS marketing engine. Improve coordination between Marketing and Sales, optimize lifecycle operations, and measure funnel and pipeline performance.