Top Tech Jobs & Startup Jobs in Israel

The Customer Success Engineer will support customer onboarding and issue resolution for the Akeyless platform, providing technical guidance and troubleshooting across various environments.

Drive B2B marketing strategies for AI products, develop go-to-market strategies, manage product launches, and ensure effective messaging for technical concepts.

Lead a global team of SDETs, drive automation frameworks, ensure quality processes, and collaborate with engineering teams for comprehensive quality ownership.

The Systems Administrator III will manage and optimize collaboration platforms, troubleshoot escalations, write automation scripts, and ensure system stability and performance.

The Sales Engineer will support the sales team, manage client communications, lead POCs, and deliver technical presentations on Voyantis' AI solutions.

The Senior DevOps will manage CI-CD infrastructures, automate processes, create application installers, and improve Git workflows within the R&D team.

Lead the architectural vision of a healthcare SaaS platform, focusing on scalable, secure solutions and the integration of AI technologies. Collaborate with cross-functional teams and enforce technical governance.

Lead the User Acquisition Department, strategizing multi-channel performance marketing while managing a team and overseeing budgets for scalable growth.

Lead the development of innovative financial products, managing the product lifecycle from concept to launch, while collaborating with cross-functional teams.

Design and implement advanced search solutions leveraging AI and semantic technologies, improving accuracy and data retrieval for organizations.

The Product Analyst will enhance product performance by utilizing analytics, defining KPIs, and collaborating with cross-functional teams to derive insights and build data-driven strategies.

The Senior Backend Data Engineer will design, build, and maintain scalable data pipelines and infrastructure, enabling AI/ML product development, ensuring data quality and optimizing performance, while collaborating with various teams to deliver high-quality data services.