Product
AI Product Manager
Build with us at the edge of enterprise AI, where product, trust, and real operational impact meet.
- Location
- Tel Aviv
- Employment Type
- Full-time
- Experience Level
- Mid-Senior level
- Department
- Product
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About the Role
We’re looking for a hands-on AI Product Manager to own and drive key capabilities across our enterprise AI platform, including AI agents, knowledge, integrations, and automated workflows.
You’ll own the product lifecycle, from understanding customer needs and defining requirements to delivery, launch, and continuous improvement.
Key Responsibilities
- Translate complex enterprise customer needs into scalable, reusable product capabilities.
- Define product requirements, user stories, AI behavior, and success criteria.
- Collaborate closely with R&D, Architecture, AI, and Design teams to deliver high-quality solutions.
- Drive product strategy, roadmap priorities, and decisions based on customer feedback, business impact, and product metrics.
- Work directly with enterprise customers, including government and regulated organizations, and present product capabilities and direction to key stakeholders.
Requirements
- 4+ years of Product Management experience in B2B, or enterprise platforms.
- Proven experience delivering AI/GenAI products to production, including LLMs, AI agents, RAG, or AI automation, with an understanding of AI limitations, evaluation methods, and guardrails.
- Ability to lead cross-functional teams and collaborate effectively with R&D, Design, and business teams.
- Experience working with large enterprise customers and technical stakeholders.
- Strong UX orientation, particularly in designing intuitive and trustworthy AI experiences.
- Practical experience with AI tools, including prototyping, experimentation, or prompt and context design.
- Strong product discovery, prioritization, and end-to-end product ownership skills, with a focus on measurable outcomes.
- Excellent written and spoken English and Hebrew.
Preferred Qualifications
- Experience with hybrid, on-premises, or air-gapped deployments.
- Experience with developer-facing products, APIs, SDKs, MCP, or integration platforms.
- Experience in government, defense, finance, healthcare, or other regulated industries.
- Background in software engineering, system architecture, data engineering, or AI/ML.
- SQL knowledge.
- Strong technical understanding of system architecture, APIs, integrations, data flows, and enterprise security principles.