Product Management jobs

Lead the vision, roadmap, and lifecycle of core platform infrastructure supporting AI-driven applications. Partner across engineering and business teams to deliver scalable, secure, resilient, developer-friendly platforms.

Own global casino product strategy and development across brands and markets, delivering a mobile-first experience that supports growth, engagement, and long-term value.

Own the strategy, roadmap, and lifecycle of mission-critical technology products for complex operational environments, partnering with cross-functional teams to deliver customer-focused solutions.

Own AI and GenAI solutions from initial discovery through development, production and measurable business impact. Work with business stakeholders, data science, engineering and UX on machine learning and GenAI products and processes.

Lead the vision, roadmap, implementation, and ongoing improvement of organization-wide AI systems, with a focus on development tools. Partner across technical and executive teams to support secure, reliable, and responsible adoption.

A full-time hybrid role in Petah Tikva leading AI and GenAI products for insurance and finance. Work across business, data, technology, and UX teams to take solutions from initial needs through production and impact measurement.

Lead product strategy and end-to-end execution for AI-powered retail intelligence and execution solutions. Translate complex retail, merchandising, and store-operations challenges into scalable products that help enterprise customers make decisions and take action.

Lead the full product lifecycle for a machine-learning advertising platform, from strategy and discovery through launch, measurement, and optimization. Partner with Engineering, Design, Data, and Business teams to prioritize initiatives and deliver products that address customer and business needs.

Lead product strategy and growth for an expanding portfolio of acquired consumer mobile applications. Own post-acquisition handovers, product roadmaps, subscription monetization, experimentation, and scalable acquisition playbooks in partnership with executive and M&A teams.

Lead enterprise AI solutions end to end, translating business needs into practical products and technical specifications while coordinating delivery, measurement, governance, and improvement.