We are looking for an experienced Technical Product Manager to lead the discovery, delivery, and evolution of AI-enabled and agentic products. You will combine strong product judgment with enough technical depth to make informed decisions about agent architecture, data, model performance, tool integrations, evaluation, and delivery trade-offs.
Working closely with engineering, data science, design, and business teams, you will turn complex opportunities into secure, scalable, user-centred products that create measurable value. This role is ideal for a product leader who enjoys moving between customer needs, technical constraints, and business outcomes.
In this role, you will
Lead the end-to-end lifecycle of AI-enabled and agentic products, from discovery to launch and continuous improvement.
Define product vision, strategy, roadmaps, and measurable business outcomes.
Collaborate with engineering and data science teams to deliver scalable, secure AI solutions and workflows.
Conduct customer and market research to identify opportunities and validate product directions.
Translate business needs into clear product requirements, user stories, and technical specifications.
Prioritize backlog and make data-driven trade-offs based on value, impact, and feasibility.
Define success metrics, quality standards, and evaluation frameworks for AI capabilities.
Partner with UX and engineering teams to deliver intuitive, production-ready products.
Monitor KPIs, user feedback, and product performance to drive adoption and continuous enhancement.
Communicate product strategy, progress, and outcomes to stakeholders and leadership.
Stay up to date with AI, machine learning, cloud, and product management trends.
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Requirements
4+ years of product management experience, ideally with digital, data-driven, or AI-powered products.
Proven experience leading cross-functional teams including engineers, data scientists, designers, and business stakeholders.
Strong technical understanding of APIs, cloud services, data pipelines, integrations, and software development.
Solid knowledge of AI and GenAI concepts, including agents, RAG, evaluation, data quality, and Responsible AI.
Experience with agentic AI frameworks such as LangChain, LangGraph, Langfuse, or similar platforms.
Familiarity with secure AI system design, access controls, privacy, governance, and enterprise integrations.
Strong ability to translate complex business needs into clear product requirements and delivery plans.
Excellent analytical, prioritization, and communication skills.
Experience with Agile methodologies and tools such as Jira and Confluence.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field (or equivalent experience)
Location: Tel Aviv, Hybrid
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