Top Tech Jobs & Startup Jobs in Israel

Own custom recurring data feeds from requirements through delivery and maintenance. Develop methodologies and acceptance criteria, build tested PySpark pipelines on Databricks using Airflow and Terraform, and ensure data quality. Partner with customer-facing teams, Solution Engineers, R&D, and Data Science to deliver reusable data products. Explain statistical concepts and limitations to nontechnical audiences while independently managing cross-team deliverables and deadlines.

Own conversion rate optimization for performance marketing landing pages and the paid on-site funnel. Lead the CRO experimentation roadmap, landing page creation, A/B test design and analysis, funnel KPI optimization, dashboards, conversion signal infrastructure, and cross-functional execution with Marketing, Engineering, Design, and BI. Use quantitative and qualitative insights to identify conversion opportunities and rapidly deliver high-impact experiments.

Build and maintain data-intensive web applications across React/TypeScript frontends and Python/FastAPI and NestJS backends. Design scalable solutions involving large-scale data, develop end-to-end features, write cross-stack tests, and contribute to shared libraries, infrastructure, architecture, and engineering best practices. Own features from planning and technical design through deployment while collaborating with Product and Design.

Analyze payment transaction data to monitor approval rates, chargebacks, fraud indicators, and provider performance. Develop dashboards, define payment analytics goals and fraud detection frameworks, investigate anomalies, and recommend data-driven routing and optimization strategies that improve payment performance and reduce losses. Collaborate with Finance, Product, and BI teams while applying SQL, BI, data pipeline, and data warehousing knowledge.

Build and own Lema AI’s go-to-market technology infrastructure, including AI workflows, automations, internal tools, integrations, CRM and revenue systems. Develop dashboards and reporting, optimize commercial operations, and partner cross-functionally with Sales, Marketing, Customer Success, Product, and Engineering to remove bottlenecks and accelerate growth.

Lead the production engineering organization responsible for the market model’s data pipelines, ML training and serving, infrastructure, monitoring, reliability, and costs. Set roadmaps and priorities across MLOps, ML engineering, and data engineering; manage functional leads; oversee delivery, KPIs, hiring, technical standards, and cross-functional collaboration. Partner with applied research to productionize models and communicate progress, risks, and technical decisions to executives, product, commercial teams, and engineers.

As a Senior Backend Engineer, you will design, develop, and optimize backend systems for a mobile advertising platform, mentor other engineers, and improve production services.

Manage employee experience initiatives, company events, internal communications, office logistics, HRIS records, vendor relationships, and supplier payments. Lead the company’s office relocation project, coordinating vendors, logistics, setup, and employee transition. The role is a 6–9 month maternity leave cover requiring strong Hebrew and English communication, organization, multitasking, and use of generative AI tools to improve operational efficiency.

Build and operate ML- and LLM-powered systems for Stampli’s SaaS platform. Responsibilities include model training, evaluation, production integration, monitoring, scalable backend APIs, distributed systems, microservices, asynchronous processing, event-driven architecture, CI/CD, observability, and cloud infrastructure. The role partners with product and engineering stakeholders, leads technical design reviews, makes architectural tradeoffs, and delivers AI capabilities at scale.

Leads the architecture, delivery, reliability, and operational excellence of Skai’s production data infrastructure. Owns large-scale database and cloud systems, including MySQL, SingleStore, Snowflake, Airflow, and microservices. Responsibilities include hands-on engineering, technical escalations, high availability, disaster recovery, CI/CD, capacity planning, vendor management, Scrum delivery, architectural reviews, and mentoring engineers in a 24/7 production environment.