Top Tech Jobs & Startup Jobs in Israel

Leads end-to-end digital commerce projects from requirements through launch, manages e-commerce flows including checkout, payments, delivery, inventory, EPP, and trade-in, and coordinates QA, UAT, production releases, issue resolution, campaigns, and product launches. Collaborates with marketing, logistics, IT, development, and global stakeholders to improve customer journeys and digital operations.

Design, develop, and maintain high-performance front-end and back-end systems while collaborating with teams and participating in code reviews.

Develop and ship end-to-end machine learning models for autonomous driving behaviors across L2-L4 systems. Own data curation, training, evaluation, experimentation, and on-road validation. Improve model performance through iterative training cycles while addressing real-world safety, quality, and deployment constraints. The role may involve reinforcement learning, transformer networks, automotive systems, model compression, and embedded deployment.

Hands-on system integration role focused on optical-module testing, customer-platform integration, silicon and board bring-up, validation, and root-cause debugging. Responsibilities include developing Python/MATLAB automation, operating laboratory equipment, analyzing signal integrity and system performance, debugging hardware and firmware, reviewing schematics, documenting findings, and supporting customer evaluations and demonstrations.

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.

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.

Own complex, AI-driven product initiatives from discovery through delivery. Translate ambiguous customer and business needs into validated solutions, clear requirements, user flows, and development-ready specifications. Partner with R&D and Data to assess feasibility, prioritize work, make customer, business, and technical trade-offs, and drive successful execution.