Top Tech Jobs & Startup Jobs in Israel

Manage customer-facing sales operations, including orders, quotations, billing, invoicing, forecasting, and CRM workflows. Partner with account and sales managers to resolve operational roadblocks, maintain accurate pipeline data in HubSpot and Priority ERP, and analyze sales performance, backlog, and product revenue metrics. This is a part-time, on-site role in Raanana, working five days per week in half-day shifts.

Owns the end-to-end design, development, operation, and evolution of internal platforms supporting CTI products. Responsibilities include managing Kubernetes, cloud and on-prem environments, CI/CD, Terraform infrastructure, security controls, observability, and scalable infrastructure for AI/ML systems. The role requires strong Python and Bash skills, AWS and Kubernetes expertise, architectural judgment, and experience building high-scale production systems.

Own company-wide budgeting, rolling forecasts, SaaS revenue modeling, financial reporting, variance analysis, and executive decision support. Track SaaS metrics and unit economics, prepare board and investor materials, support fundraising and long-range planning, and improve financial processes, systems, and data quality. The role partners closely with department heads and C-level leadership while helping expand the FP&A function.

Build and deploy production software for enterprise customers using Telnyx communications, AI, and connectivity technologies. Lead technical discovery, architecture, POCs, integrations, observability, model routing, and production launches. Deploy containerized services, LLM gateways, and self-hosted models; troubleshoot high-concurrency and real-time systems; and manage customer outcomes through go-live. Collaborate with customers, Product, and Engineering while documenting solutions and communicating in English and Hebrew.

Produces, pitches, researches, reports, films, and edits breaking and enterprise news for broadcast, digital, and streaming platforms. Reports live on air, self-produces field and studio segments, coordinates reporting logistics in Israel, maintains editorial relationships, and collaborates with network news teams. The role requires strong news judgment, technical production skills, regional contacts, cultural fluency, flexibility, travel, and willingness to work in conflict zones.

Lead end-to-end data and automation solutions for Clinical Research: intake, business case development, design, build, validation, deployment and lifecycle management of ETL pipelines, dashboards, workflow automation and AI-assisted processes. Ensure compliance (ICH GCP), measure impact via KPIs, manage stakeholders and change, and scale reusable solutions across countries and region.

Build and scale production machine learning infrastructure, including training and inference pipelines, model deployment, feature generation, registries, monitoring, governance, and CI/CD. Improve reliability, reproducibility, observability, performance, and cost efficiency across ML systems. Collaborate with data scientists, analysts, and engineers to productionize models, establish technical standards, and guide the platform roadmap.

Lead and own verification and validation for complex counter-uncrewed defense systems: set Go/No-Go authority, build testing infrastructure and automation, define KPIs, run integration, field, and adversarial tests, and manage multidisciplinary testing teams while partnering with R&D.

Leads technical strategy and architecture across DevOps, data infrastructure, and backend platforms. Responsibilities include AWS and multi-cloud infrastructure, AI infrastructure, CI/CD, Kubernetes, observability, security, incident management, database operations, and scalable Java microservices. The role establishes engineering standards, improves developer productivity through governed AI tools, optimizes reliability and performance, and mentors senior engineers across infrastructure teams.

Pilot humanoid robots through a dedicated teleoperation system, perform complex remote tasks for AI data generation, test and validate software builds, identify bugs and performance limits, and recommend improvements to robot behaviors, interfaces, and data-collection processes. The role requires sustained focus, dexterity, situational awareness, protocol adherence, technical communication, and availability for a 45-hour weekly schedule including possible nonstandard hours.