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Build and roll out AI agents, workflows, and internal tools that help product marketing and broader marketing teams work more effectively. The role partners with Marketing and Sales to identify opportunities, measure results, and ensure tools are reliable and secure.

Lead product strategy and execution for CRM sales workflows, including pipeline management, deal execution, and AI-powered agentic experiences. Work with cross-functional teams to deliver reliable products across desktop and mobile.

Own the product experiences and experiments that turn new users into paying, growing customers for a self-serve AI product. Shape activation, monetization, expansion, messaging, and the website experience in a small, autonomous team.

Join the IT Security team in Tel Aviv to design, implement, and mature security controls for business applications, employees, and the corporate environment. Own security domains through risk assessment, requirements, implementation, and operations, using identity-centric controls, Zero Trust, and a

Own evaluation methods and infrastructure for production AI agents. Define trusted quality metrics, integrate continuous evaluation into agent workflows, and help teams use evaluation results to make production decisions.

Build and operate an AI-focused partner program for software vendors developing AI agents and delivery partners adopting agentic workflows. Start with a pilot cohort, then develop a repeatable program integrated with the existing partner ecosystem.

Own lifecycle marketing strategy and execution, building scalable, personalized programs that drive revenue and meaningful customer actions throughout the journey.

Join a growth-focused team as a senior marketing analytics partner. You will connect commercial strategy with technical analytics, own user acquisition data foundations, and turn channel data into decisions that improve scaling and budget allocation.

Build the data foundation for an AI-enabled marketing funnel product. You will own engineering across ingestion, data modeling, APIs, and reliable processing of high-volume data from disconnected sources.

Lead the technical direction and operation of secure, scalable infrastructure for data and AI platforms. Own architecture decisions, mentor engineers, and drive high-impact infrastructure initiatives across multiple teams and regions.