Top Artificial Intelligence Jobs in Israel

Lead and scale an Eastern-region channel sales organization, including recruiting, coaching, forecasting, pipeline management, quota attainment, and enterprise customer development. Build relationships with CISOs and security leaders while partnering with marketing, product, and sales operations on go-to-market execution. Manage channel relationships across VARs, MSSPs, technology alliances, cloud alliances, and systems integrators, while establishing scalable sales processes and conveying field intelligence to the broader organization.

Owns platform-wide security strategy and architecture for agentic AI, LLMs, models, and RAG pipelines. Leads threat modeling for emerging GenAI attack surfaces, establishes secure-by-design standards, defines access-control and data-governance models, and drives adoption across engineering teams. Represents AI security externally and to executives while mentoring engineers. The role requires deep security engineering, AI-specific threat defense, agentic framework expertise, and extensive enterprise architecture experience.

Analyze and red-team AI agent systems, identify attack paths, and build runtime controls, static analysis, behavioral detection, and mitigations. Develop prototypes through production hardening, threat-model AI architectures, create security evaluations, track AI security research, advise product teams, and communicate findings through research, patents, and presentations.

Own and evolve monday.com’s AI foundations platform, including generative AI products, agent frameworks, MCP tooling, identity and governance, secure data access, and production systems. Design scalable APIs, SDKs, and cloud-native infrastructure; implement authentication, authorization, observability, and agent security; take ambiguous initiatives from concept through production; and mentor engineers while setting technical direction.

Design, build, and maintain backend infrastructure and microservices for AI-driven features. Integrate AI models and services with core systems, develop APIs and data pipelines, and optimize real-time processing for performance, scalability, and resilience. Lead feature development from design through deployment, promote testing and automation, participate in architecture discussions and code reviews, and mentor backend developers.

Leads end-to-end security research for AI agents within Microsoft Project Perception, defining investigation problems, research methodologies, evaluations, production readiness, and customer-facing outcomes. Partners with engineering, data science, and product teams; analyzes large-scale security data; applies AI and agentic tooling to improve detection and investigation; influences strategy and roadmaps; and mentors researchers.

Lead and support AI transformation and digital strategy projects for global organizations. Analyze business challenges, identify AI and data opportunities, develop roadmaps and business cases, assess AI maturity and technologies, translate business needs into technical requirements, facilitate workshops, and collaborate with stakeholders to drive AI adoption and data-driven decision-making.

Leads the design and development of clinical applications, AI tools, and workflows for point-of-care ultrasound products. Defines product requirements, coordinates multifunctional engineering and clinical teams, reviews verification plans, supports external evaluation sites, and contributes to regulatory submissions. Provides technical leadership and mentorship while ensuring high-quality execution, documentation, communication, and delivery across multiple projects.

Lead budgeting, forecasting, long-term financial planning, variance analysis, and financial reporting. Partner with business units to translate financial data into strategic recommendations, monitor key performance metrics, and improve FP&A processes through automation and AI-driven solutions. The role requires strong Excel skills, financial analysis expertise, effective communication, and fluency in English.

Own strategy, discovery, roadmap, execution, compliance, integrations, and go-to-market activities for a digital advertising product. Partner with customers, engineering, design, data, sales, marketing, and customer success teams to define requirements, launch features, measure outcomes, and iterate. The role requires B2B SaaS product management experience, analytical strength, AI fluency, strong communication, and comfort working in ambiguity.

Own and build the product marketing function, including positioning, messaging, buyer personas, go-to-market strategy, product launches, competitive intelligence, customer research, and sales enablement. Translate complex AI technology into compelling stories for in-house legal teams, create marketing and sales content, support campaigns and events, and collaborate closely with Product, Sales, customers, designers, and executives in a fast-growing startup.

Leads the playable ads production organization, overseeing managers, workforce planning, budgets, delivery, quality, capacity, and operational efficiency. Establishes scalable workflows, performance metrics, and accountability while integrating AI tools and automation into production. Partners with Product, R&D, Partnership Growth, and leadership to align client needs, production capabilities, and business priorities. Develops distributed teams, improves production systems, and supports organizational growth without relying primarily on additional headcount.

Leads end-to-end delivery, quality, scaling, and operational performance of RL Gym programs for strategic AI partners. Translates research and model-development needs into program requirements, workflows, metrics, and scalable processes. Partners with frontier-model teams, Sales, Product, Research, Delivery, and Operations to scope, launch, iterate, and expand programs. Builds feedback loops, quality standards, and the program management and operations function while managing capacity, timelines, cost, throughput, and partner satisfaction.

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.

Leads cross-functional system product engineering projects from requirements through end of life. Responsibilities include integration planning, risk mitigation, bug prioritization, manufacturing data analysis, automated test development, quality and yield improvement, production scaling, failure analysis, test validation, and coordination across hardware, software, firmware, chip design, operations, and suppliers.

Lead strategy, roadmap, and execution for a high-impact product domain involving financial logic, technical architecture, and AI capabilities. Align executive and cross-functional stakeholders, define KPIs, manage product maturity through production, and develop detailed specifications. The role requires deep analysis of financial calculations, business logic, APIs, schemas, and data models, along with hands-on AI prototyping and technical collaboration with engineering.

Own the advertiser experience across Taboola’s Realize platform, ABBY AI assistant, and agentic MCP layer. Lead onboarding, campaign creation, reporting, guidance, activation, retention, and experimentation for advertisers ranging from SMBs to global agencies. Define product vision and roadmap, collaborate with UX, engineering, data science, analytics, marketing, and business teams, and develop AI-native product practices. Shape how AI assistants and external agents interact with the platform while improving usability, adoption, and measurable business outcomes.

Leads enterprise AI engineering delivery, security-by-design implementation, architecture roadmaps, governance frameworks, and global deployment. Builds and manages distributed AI engineering teams, translates business needs into high-impact technical strategies, and develops partnerships with cloud providers and AI startups. The role also represents Micron’s generative AI program internally and externally while driving standardized development practices and regulated, security-conscious delivery.

Leads the vision, strategy, and roadmap for Tenable’s Platform Core, covering data, APIs, integrations, access management, and shared customer experiences. Builds customer relationships, guides technically complex product decisions, aligns product and engineering teams, drives innovation including AI-enabled experiences, and owns outcomes from discovery through adoption. Requires strong platform product management expertise, technical understanding, strategic judgment, and cross-functional leadership.

Conduct research on AI security agent behavior by forming hypotheses, designing experiments, analyzing traces and failure modes, and building research harnesses. Develop AI projects from proof of concept through production, including algorithms, pipelines, memory, context, and evaluation systems. Monitor emerging models and research, publish findings, and present at industry conferences while supporting customer-facing AI infrastructure.

Leads HR strategy for the Electrophysiology business unit in Israel, partnering with senior leaders on organization design, workforce planning, talent management, succession, culture, leadership effectiveness, transformation, and change execution. Uses analytics, digital tools, and responsible AI to improve decision-making, employee experience, and organizational outcomes. Coaches leaders, identifies workforce risks, supports future-of-work initiatives, and coordinates integrated solutions across the HR organization in a global, regulated, matrixed environment.

Conduct manual penetration tests across web applications, APIs, cloud, containers, identity systems, and AI-powered features. Identify systemic vulnerabilities, chain exploits across trust boundaries, develop proof-of-concept exploits, and deliver prioritized remediation guidance. Collaborate with engineering, product security, architecture, detection, and incident response teams to improve security designs and controls. Build automation to improve testing efficiency. Preferred experience includes security research, red teaming, adversary emulation, AI security, and secure-by-design initiatives.

Lead hands-on penetration testing across web applications, APIs, cloud, containers, identity systems, and AI-powered features. Identify systemic vulnerabilities, chain exploits across trust boundaries, develop proof-of-concept tools, and deliver prioritized remediation guidance. Partner with engineering, product security, architecture, detection, and incident response teams to improve secure design, monitoring, and response. The role also supports automation, adversary emulation, red team activities, and security research.

Own go-to-market strategy and commercial growth for a product area. Responsibilities include developing positioning, messaging, use cases, value propositions, product launches, sales enablement, competitive intelligence, customer profiles, and marketing narratives. The role partners with product, sales, demand generation, and marketing teams to drive adoption, pipeline impact, and market expansion among enterprise security, cloud, and developer audiences.

Designs data architecture, pipelines, governance, and quality standards while developing and deploying production ML models. Owns the full model lifecycle from research and experimentation through monitoring and iteration. Partners with Product and R&D to deliver AI capabilities for vulnerability detection, attack emulation, and security insights, while evaluating build, buy, and fine-tuning options.