Top Tech Jobs & Startup Jobs in Jerusalem

The Engineering Map Lead will create technical maps, integrate various data sources, and collaborate on infrastructure projects, ensuring high-quality deliverables.

The Signal Analyst will support the production of underground maps by analyzing data from multiple technological sensors and participate in QA for product development processes.

The Customer Success Manager will onboard clients, enhance relationships, identify upsell opportunities, analyze data for retention, and conduct business reviews.

Conduct advanced cybersecurity research, develop attack capabilities, integrate findings into automated platforms, and mentor R&D team members. Requires expertise in offensive security and development across multiple technologies.

As a Product Marketing Manager, you will support the launch and commercialization of new products, educate stakeholders on product features, and enhance user engagement through effective marketing materials.

The Product Manager will enhance the clinician's experience with AI tools, oversee product roadmaps, address user feedback, and collaborate with teams to improve adoption and engagement.

Lead the Diagnosis Insights domain by defining product roadmaps, KPIs, and user experiences while collaborating with engineering and data science teams to improve clinical decision-making via AI-powered products.

As a Senior Software Engineer, you'll enhance ClickHouse's data ecosystem by developing Python connectors, integrating orchestration platforms, and collaborating on AI/ML strategies, significantly impacting how data is processed in enterprises.

As a QA Lab Operations Engineer, you will manage the lifecycle of lab environments, ensuring high-performance setups for testing. Responsibilities include rack-and-cloud processes, hardware diagnostics, and maintaining data center operations across multiple locations.

The Revenue Operations Manager will optimize the revenue funnel, manage Salesforce architecture, implement AI tools, and analyze revenue data for decision-making, enhancing productivity and alignment across teams.

The Senior Machine Learning Engineer will own critical ML subsystems, build and ship ML systems, debug production issues, and mentor other engineers. Responsibilities include collaborating cross-functionally, iterating on ML systems based on real-world signals, and ensuring high reliability and efficiency targets are met.

The iOS Software Engineer will build high reliability iOS applications that integrate AI features, focusing on performance, user experience, and collaboration with backend engineers.

The Full Stack Engineer will develop AI-driven workflows, integrate LLMs, and improve system reliability in collaboration with cross-functional teams.

The Executive Assistant will provide high-level support to C-level executives, manage calendars, coordinate meetings, handle travel arrangements, and maintain confidentiality while facilitating communications.

The AI Transformation Lead will accelerate AI adoption by identifying opportunities, translating challenges into AI solutions, and driving organization-wide change.