Top Artificial Intelligence Jobs in Israel

Develop and lead implementation of an AI-powered iOS travel platform. Responsibilities include architecting Swift features, designing conversational and context-aware user experiences, integrating machine learning capabilities, and creating intuitive interactions for complex AI functionality. The role collaborates closely with AI engineers, designers, and product teams while applying modern iOS practices, including SwiftUI and Combine.

Lead the full enterprise sales cycle from prospecting and discovery through negotiation and close. Develop complex commercial offers, build executive-level relationships, manage legal and procurement discussions, identify account expansion opportunities, and collaborate with internal teams to deliver customer-focused solutions. The role focuses on new business across enterprise companies in Israel and requires strong outbound sales, consultative selling, negotiation, communication, and storytelling skills.

Conduct advanced security research across SaaS applications, identify security risks, and develop capabilities to address them proactively. Collaborate with R&D, Customer Success, and Product Management to integrate security practices. Monitor emerging SaaS threats and cloud security technologies, prepare findings and recommendations, and communicate them to technical and non-technical stakeholders. Apply security frameworks, monitoring and endpoint protection tools, automated testing, and AI technologies to improve security decision-making and outcomes.

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.

Own complex customer product and technical inquiries across chat, email, and Zoom. Diagnose root causes, configure solutions, educate customers, identify broader value and expansion opportunities, and coordinate with technical support teams. Build product expertise, share knowledge, mentor teammates, and stay current on AI capabilities. The role requires strong communication, empathy, technical learning ability, adaptability, and customer-focused problem solving.

Leads Sedgwick’s global mergers and acquisitions and corporate strategy agenda, including target identification, deal sourcing, valuation, negotiation, due diligence, integration, and performance monitoring. Partners with executive leadership and cross-functional teams to execute acquisitions, divestitures, joint ventures, and strategic investments. Builds the M&A pipeline, presents recommendations to investment committees and the board, manages external advisors, represents the company in negotiations, and leads a high-performing corporate strategy team.

Own the development and operation of monday.com’s AI-Native partner program, recruiting ISV and delivery partners, designing activation and certification paths, managing security and quality reviews, and tracking program metrics. Lead a 90-day pilot, integrate the track into the broader partner ecosystem, coordinate with product, security, legal, marketplace, marketing, and regional teams, and convert pilot learnings into a scalable operating model.

Designs and delivers AI adoption and enablement programs for Services and Tech Touch teams at a B2B SaaS company. Responsibilities include identifying workflow gaps, building workshops, coaching, self-service tools, simulations, playbooks, and role-based learning journeys; partnering on AI-native solutions; tracking adoption; iterating programs; and supporting onboarding agentification and monday Academy initiatives.

Leads planning and supply chain technology programs from solution selection through implementation and organizational change. Documents business requirements, translates business needs into technical specifications, supports and troubleshoots systems, trains users, and manages cross-functional implementation projects. The role requires expertise in planning and supply chain processes, SAP-based systems, stakeholder collaboration, executive presentations, and influencing decisions within a matrix organization.

Own design operations for an 80+ person, multi-site design guild. Manage tooling, licenses, procurement, vendors, contracts, budgets, travel, onboarding, and operating cadences. Build AI agents and automations, run enablement programs, identify operational friction, drive organizational change, measure adoption, and align cross-functional stakeholders. The role requires strong design or creative operations experience, influence without authority, root-cause diagnosis, organizational judgment, self-direction, and clear written communication.

Lead the vision, strategy, and roadmap for AI service products including Ava, consultant tools, crisis management, and operations automation. Manage product managers and partner with engineering, design, data, operations, sales, and support. Expand AI-driven customer resolution while enabling seamless consultant handoffs. Improve customer satisfaction, personalization, productivity, accuracy, reliability, and operating costs. Own the service offering P&L and lead customer-facing AI products at scale.

Owns AI product knowledge for the CCO Academy by tracking releases, features, agents, pricing, and positioning. Translates technical updates into clear enablement content, runs webinars and knowledge sessions, presents product updates, identifies knowledge gaps, and supports cross-functional enablement with Product, Engineering, and business teams. The role also contributes to automated documentation and release communication processes.

Conduct advanced security research across operating systems, cloud environments, enterprise software, APIs, microservices, and containers. Discover vulnerabilities, reverse-engineer software, develop proof-of-concept tools, use AI to accelerate research, publish findings through blogs and conferences, and collaborate with detection and product teams to turn discoveries into security capabilities.

Build and lead TRG’s global talent acquisition function while scaling the company from approximately 100 to more than 200 employees. The role combines recruiting strategy, team leadership, hands-on sourcing for specialized roles, AI-enabled recruiting workflows, hiring analytics, executive partnership, employer branding, and culture development across international markets.

Design and own evaluation methodologies, metrics, datasets, test suites, and pipelines for production AI agents. Build end-to-end evaluation tools, analyze agent execution traces and failure modes, establish quality standards, and embed continuous evaluation into engineering workflows. Partner with engineering and product teams to drive adoption, improve agent reliability, and guide production decisions across the organization.

Develops and deploys advanced machine learning and AI models using large-scale, real-time data. Responsibilities include defining business problems, exploring data, designing algorithms, building scalable production architectures, and collaborating with engineering and product teams. The role also involves innovation, knowledge sharing, mentoring, and making architectural decisions. Experience with AdTech, real-time ML, deep learning, LLMs, or reinforcement learning is advantageous.

Leads global enterprise information systems, including ERP and CRM platforms, migrations, AI initiatives, vendor management, testing, change management, training, and post-deployment support. Manages hundreds of information systems, business processes, in-house developers, and the IS team while translating business needs into technical solutions and overseeing software renewals and contracts.

Design and ship AI-first enablement solutions and content that teach product and business use. Rapidly prototype tools (agents, LLM workflows, no-code solutions), iterate from user feedback, deliver hands-on training, and collaborate across Product, Engineering, and client-facing teams to drive adoption and measurable impact.

Lead a small engineering team building AI-native project management solutions. Own architectural decisions and features end to end, from design and implementation through deployment and monitoring. Collaborate with product and design, integrate LLMs and AI technologies, optimize performance and scalability, and establish engineering best practices for reliable, user-centered products.

Own the security strategy and architecture for ServiceNow’s agentic AI ecosystem, LLMs, models, and data pipelines. Lead threat modeling for novel GenAI risks, define secure-by-design standards, access controls, and data boundaries, and drive adoption across engineering teams. Represent the company externally, guide executive stakeholders, mentor engineers, and advance defenses against prompt injection, jailbreaks, and other AI-specific threats.

Design and implement agentic platforms, AI workflows, LLM and RAG solutions, evaluation frameworks, and production-grade AI systems. Prepare large-scale data for training and inference, integrate AI with existing products, and collaborate cross-functionally to identify opportunities. The role requires Python proficiency, modern AI expertise, software development experience, and practical experience building AI agents, workflows, and LLM-based solutions.

Build Marko, a production-grade agentic marketing platform that autonomously manages advertising campaigns, creative generation, budget allocation, and performance optimization. Own specialized sub-agents, orchestration, tool integrations, approval gates, audit trails, evaluation systems, and feedback loops. Integrate major advertising platforms and collaborate with marketing leadership on campaign economics and attribution. This founding engineer role requires shipping reliable AI systems that operate at scale with real budgets.

Build and ship security controls for agentic AI systems. Responsibilities include analyzing agent architectures, threat modeling, developing static and runtime protections, red-teaming prompt and tool attacks, evaluating defenses, researching AI security threats, and advising product teams on secure AI design.

Conduct end-to-end security research into how vendors expose customers to attack. Discover and validate attack paths using real data, evaluate security tools and data sources, shape AI risk-agent logic, build research tools, and partner with engineering to turn findings into product capabilities, detections, or published research.