Top Tech Jobs & Startup Jobs in Israel

Lead product marketing strategy for a cloud-based AI and cybersecurity platform serving physical AI and smart mobility markets. Develop messaging, positioning, sales enablement, thought leadership, webinars, partner programs, content, analyst relations, media opportunities, and product announcements. Collaborate with product, sales, customer success, alliances, customers, prospects, and technology partners while representing the company in webinars, interviews, and speaking engagements.

Leads product operations across launches, GTM readiness, KPI tracking, process improvement, AI adoption, and internal tooling. Coordinates Product, Engineering, Marketing, and Customer Success teams; develops launch playbooks, monitors product readiness and performance, improves release workflows, and reduces manual work through AI-assisted automation and dashboards.

Own end-to-end relationships with global enterprise customers, from onboarding and technical deployments through adoption, issue resolution, expansion, and ongoing success. Lead integrations, rollout planning, and go-live readiness while partnering with Product and Engineering on troubleshooting and escalations. Translate customer needs into technical requirements, present product capabilities, gather feedback, and manage expectations across time zones and cultures.

Designs, develops, and scales Java-based backend services within a microservices architecture. Builds REST APIs, improves services supporting web and mobile applications, and owns features across the software development lifecycle. Collaborates with engineering, QA, product, and architecture teams; contributes to code reviews and engineering standards; and researches technologies that improve platform scalability, performance, and reliability.

Manage global revenue operations supporting Marketing, Sales, and Customer Success. Responsibilities include maintaining Salesforce and sales databases, processing orders, producing reports and dashboards, monitoring KPIs, ensuring GTM process compliance, analyzing and correcting data, training sales teams, collaborating with CRM and BI teams, and using AI and automation to improve workflows and productivity.

Leads business development initiatives to create revenue streams, launch products and business lines, enter new markets, and establish strategic partnerships. Responsibilities include identifying and evaluating M&A opportunities, negotiating partnerships, driving initiatives from concept through execution, monitoring competitors, and collaborating with Product, Trading, Marketing, and Customer Success. The role requires strong commercial judgment, stakeholder management, negotiation skills, independence, and occasional travel.

Leads the Performance Management engineering organization, overseeing design, development, testing, deployment, scalability, capacity planning, operational support, and product quality. Establishes engineering standards, manages delivery and resources, incorporates customer requirements, and leads a globally distributed team. The role also drives adoption of AI and agentic technologies, recruits and develops engineering talent, and partners with business leadership to deliver scalable SaaS products.

Analyze complex customer data environments with SQL to identify gaps, anomalies, and opportunities for improving platform accuracy. Translate findings into model-tuning inputs, product improvements, and R&D priorities. Build internal tools and automation, configure the platform for customer data landscapes, maintain documentation and runbooks, and collaborate with field, R&D, and research teams. The role requires strong analytical, technical problem-solving, communication, and organizational skills.

Develop and deploy large language model technologies for scalable hiring agents. Responsibilities include researching LLM solutions, integrating research into customer-facing applications, designing evaluation frameworks, experimenting with AI models and techniques, and iterating rapidly based on client feedback. The role requires strong Python, LLM evaluation, agent development, RAG, MCP, conversational AI, cloud, CI/CD, and software architecture experience.

Build and maintain the analytics data platform for Artifactory product analytics. Design product telemetry with product managers and engineers, develop production-grade dbt models in layered warehouse structures, standardize entities and definitions, and enable self-service access to trusted datasets. The role requires strong SQL, data modeling, cloud warehouse, event-tracking, Git, and AI-assisted coding experience, with close collaboration across analysts, PMs, and R&D.