Top Artificial Intelligence Jobs in Israel

The GTM AI Product Manager will execute GTM strategies into operational AI solutions, manage project scopes, and ensure successful implementations across teams, while building prototypes and facilitating stakeholder partnerships.

The Head of Digital Acquisition will lead HiBob's global paid growth engine, optimize paid media campaigns, mentor a team, and drive pipeline growth across segments.

The Senior Product Manager will oversee the monetization infrastructure, guiding its strategy, development, and implementation to support AI-driven subscription services.

As an AI Applied Scientist, you'll lead the algorithm lifecycle, develop predictive models using various data sources, and collaborate with teams to create innovative solutions for industrial manufacturers.

As an AI Applied Scientist, you will own the algorithm lifecycle, developing and deploying models from data analysis to production, while collaborating with customers and product teams.

The Tech Lead will implement robust backend infrastructure for AI capabilities, optimize systems for machine learning, and work closely with data scientists to scale products.

The Applied AI Engineer will build AI solutions for business teams, optimize workflows, and collaborate to translate business needs into technical implementations, using advanced AI orchestration frameworks and Python.

In this role, you will design and build systems transforming data into insights, develop full-stack products, integrate AI agents, and lead technical decisions.

Lead the development of AI-driven developer tools at monday.com, collaborating with stakeholders, optimizing productivity, and enhancing developer experience.

Lead the transition to a self-hosted LLM ecosystem, optimizing model inference, developing agentic workflows, and executing fine-tuning strategies for chatbot enhancement.

The Senior AI Software Engineer will build GenAI infrastructure, design AI agents, integrate workflows, and improve AI system reliability and efficiency.

The AI GTM Team Lead will guide AI positioning within Sales, Customer Success, and Marketing, create sales strategies, and enable client-facing teams to effectively communicate AI value to customers.

Build IDE experiences integrating AI tools, work on prompt optimization and agent tools, and prototype innovative UIs for Datadog's development environment.

The AI Engineer will architect and build AI-native systems, lead model quality lifecycle, and collaborate across teams to enhance product experiences at monday.com.

The Lifecycle Marketing Manager will design and execute campaigns to promote AI adoption, analyze performance, and collaborate across teams to enhance user experience.

The AI System Architect leads and defines enterprise AI architecture, oversees integration strategies, manages platforms, and ensures governance compliance, shaping the AI roadmap and managing technical standards.

The AI Engineer is responsible for designing, implementing, and deploying AI systems and applications, focusing on machine learning models and large language models (LLMs).

The Lead AI Product Manager for AI Trust will co-own strategy, drive core product areas, and build trust between organizations and AI agents, balancing enablement and control while directly engaging with customers.

The Lead Product Manager will own the vision and roadmap for developer tools and AI infrastructure, drive adoption, lead cross-team initiatives and define AI-powered workflows to enhance developer experiences.

The AI Lead will drive AI initiatives within the customer organization, translating strategy into execution, managing projects, and analyzing performance metrics.

As a Senior Product Manager, you will define and evolve GitLab's AI Platform Management capabilities, focusing on AI Control Plane and strategic governance. You'll lead product discovery, drive stakeholder alignment, and collaborate across teams to deliver effective management solutions for AI usage.

The AI Solution Engineer will design and deliver AI-driven workflows, enhance sales efficiency, and create practical solutions while collaborating across departments to optimize business processes.

The Senior AI Engineer will design and maintain AI capabilities, develop internal servers, implement evaluation frameworks, and foster AI practices while collaborating across departments at Riskified.

The role involves shaping AI product strategy for monday service, managing the product lifecycle, understanding customer needs, and validating product ideas. Collaboration with various teams is essential to deliver impactful AI solutions.

The Senior Customer Program Manager will oversee program execution for technical and operational initiatives, ensuring alignment with customer needs and driving collaboration across global teams.