Top Tech Jobs & Startup Jobs in Israel

Generate outbound and inbound pipeline across EMEA and global markets, qualify opportunities, and manage full-cycle SMB sales from discovery through closing. Map accounts, identify DevOps and security challenges, maintain CRM accuracy and forecasts, collaborate with Account Executives, Sales Engineering, and Marketing, and represent the company at international events and client meetings.

Leads development of AI optimization software across Microsoft AI hardware platforms. Designs and implements AI kernels, optimization algorithms, compilation techniques, and runtime improvements to increase performance, scalability, and efficiency. Architects complex solutions, writes and reviews C++ and Python code, drives testing and automation, collaborates across model, systems, compiler, and hardware teams, and mentors engineers while ensuring security, reliability, and maintainability.

Leads development and optimization of AI software frameworks across Microsoft accelerator hardware. Designs AI kernels, optimization algorithms, compilation techniques, runtime and serving improvements, and distributed execution solutions. Provides architectural and technical leadership, mentors engineers, drives testing, automation, deployment, reliability, telemetry, incident response, and cross-team delivery. Requires strong C++ and Python coding experience, advanced AI optimization expertise, and deep knowledge of performance, scalability, security, and production operations.

Lead frontend architecture and end-to-end delivery of customer-facing Azure Marketplace features. Design scalable component and state-management systems, improve performance and reliability, diagnose production issues, apply AI tooling, establish testing practices, collaborate cross-functionally, and mentor engineers.

Own Blockaid’s internal IT function, including identity and access management, Apple endpoint administration, network and office infrastructure, SaaS administration, automation, and conference room technology. Build scalable joiner-mover-leaver workflows, integrate systems through APIs, automate support with AI tools, and partner with Security on zero-trust access, patching, compliance evidence, and incident response.

Design and build polished, performant UI in Vue 3, own features end-to-end from PRD to KPI tracking, evolve the component library and frontend infra, implement Node/NestJS services and work with Postgres, Snowflake, and ClickHouse, and integrate AI-assisted development to improve engineering speed and safety.

Own Pentera’s internal AI transformation strategy and build production AI agents, context layers, retrieval systems, action tools, and evaluation and safety infrastructure. Set architecture, model, vendor, ROI, security, and quality standards while partnering with business teams to scale successful workflows. Mentor AI Champions, advise leadership, and establish reusable internal AI platform patterns.

Own the marketing funnel’s operational infrastructure, including lead lifecycle, routing, segmentation, data hygiene, tooling, tracking, attribution, reporting, and HubSpot administration. Partner with marketing, sales, SDR, and customer success teams to ensure reliable handoffs and measurable pipeline contribution. Build scalable systems from the ground up, automate manual processes with AI, maintain data quality, and establish trusted funnel reporting for leadership.

Build and maintain multi-environment cloud infrastructure, design reliable CI/CD pipelines, implement security best practices, create monitoring and observability systems, and automate operational processes. The role requires strong Kubernetes, Docker, Terraform, cloud platform, GitOps, production, security, and compliance experience in a high-scale startup environment.

Drive strategic enterprise opportunities, exceed sales objectives, establish accounts, manage sales pipeline, and build customer relationships for Couchbase's products.

Lead the design, deployment, and evolution of enterprise AWS cloud environments. Responsibilities include cloud architecture, CI/CD and infrastructure automation, Kubernetes and container orchestration, observability, monitoring, logging, security architecture, complex troubleshooting, root-cause analysis, customer advisory, technical leadership, code reviews, and mentoring DevOps engineers.

Leads the design, development, deployment, and scaling of generative AI platforms and systems. Responsibilities include building Python-based microservices, applying LLM, RAG, fine-tuning, and inference techniques, designing secure APIs, implementing DevOps practices, collaborating with product and business teams, solving complex technical problems, and mentoring engineers.

Leads the architecture, development, and deployment of enterprise machine learning, Generative AI, NLP, and RAG solutions on AWS. Designs scalable MLOps platforms, data pipelines, feature stores, vector search systems, and model monitoring. Advises enterprise customers, leads technical workshops, collaborates with architects and data scientists, and mentors engineers. Requires advanced Python and ML framework expertise, AWS AI/ML services experience, big data and database knowledge, customer-facing leadership, and fluency in Hebrew and English.

Build and own secure remote access features for cyber-physical systems. Design scalable, high-availability gateway and proxy architectures, integrate IT and OT networks, implement Zero Trust and session monitoring capabilities, and maintain secure, resilient production code. Collaborate with product managers and security researchers while contributing across feature design, architecture, development, and deployment.

Lead discovery, definition, and delivery of product initiatives for Claroty's platform. Own product vision and roadmap, integrate AI/ML capabilities for threat detection, manage end-to-end lifecycle, prioritize features, and collaborate with engineering, design, sales, marketing, and customer success to drive scalable platform adoption.

Build and maintain Claroty’s secure, scalable cloud-native platform across the full delivery lifecycle, from code integration through global production deployment. Manage cloud infrastructure, containerized environments, Linux systems, automation, CI/CD pipelines, and infrastructure as code while ensuring reliability, security, and operational efficiency for mission-critical cyber-physical security products.