Top Tech Jobs & Startup Jobs in Israel

Lead Ceragon's global business applications strategy and team, drive ERP modernization, AI-enabled process improvements, vendor/partner management, cross-functional transformation, and ensure scalable, secure enterprise application delivery and adoption.

Lead day-to-day office operations, vendor management, and office logistics while owning employee welfare, onboarding/offboarding, HRIS accuracy, and employee engagement programs. Plan and execute events, manage internal communications and employer brand/social content, and continuously improve people processes to strengthen culture and support growth.

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.

Design and implement scalable Salesforce solutions, translate business requirements into architecture, lead planning/estimation, mentor developers, integrate with other systems, resolve technical issues, and keep solutions aligned with Salesforce best practices.

Lead a hands-on engineering team building cloud-based analytics/SaaS products. Own delivery, architecture, hiring, performance management, and roadmap; write and review code, drive technical standards, and apply AI-augmented workflows to improve velocity and quality.

Plan and manage global manufacturing, procurement, forecasting, and inventory. Lead procurement projects, define planning methodology, monitor KPIs, drive continuous improvement, mitigate risks, and implement business processes across cross-functional teams.

Respond to inbound leads via calls, email and social; qualify prospects and schedule demos; run email/LinkedIn campaigns; manage prospecting in HubSpot CRM; collaborate with Sales and Marketing to grow pipeline and new business initiatives.

Lead architecture and integration of RISC-V-based compute clusters and vector engines for AI acceleration. Define ISA extensions, interconnects, memory hierarchies, scheduling, and cache utilization; collaborate with compiler, ML runtime, RTL, verification, and firmware teams; evaluate performance/power trade-offs; and specify debug, trace, and performance-monitoring features to deliver scalable, power-efficient AI SoC compute subsystems.

Design, deploy, and monitor production data-science models using deep learning and time-series methods. Drive KPI improvements via advanced analysis, experimentation, and collaboration with game-economy, development, and marketing teams. Communicate insights to non-technical stakeholders and remain current with ML research.

Perform end-to-end data research and analysis to improve maritime core-data algorithms. Extract and analyze GEOINT, SIGINT, and ADINT fused with maritime signals using Python and databases. Leverage generative AI/LLM tools, maintain data quality, visualize and document findings, and collaborate with cross-functional teams to drive product and engineering decisions.