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AI Product Manager
HíbridoSin especificarGestión de productoGovernment
A recruitment firm is seeking an AI Product Manager for a large government organization in Jerusalem. The role leads AI and generative AI products from discovery through deployment and production in a hybrid work model.
Responsabilidades
- Lead AI and generative AI products from product discovery and need identification through implementation, launch, and production.
- Own the product lifecycle, including problem definition, target audiences, user journeys, product requirements, roadmaps, and backlog prioritization.
- Translate business and professional needs into AI product capabilities with leadership and development, data, infrastructure, cybersecurity, legal, privacy, and UX teams.
- Lead proof-of-concept and MVP projects; define evaluation methods, production readiness criteria, and measures of success, quality, adoption, cost, and business value.
- Work with external vendors and technical teams to define requirements, assess solutions, build prototypes, and manage API and core-system integrations in cloud and hybrid environments.
- Define human-in-the-loop approaches, information security and privacy safeguards, responsible AI practices, and product failure scenarios.
Requisitos
- At least 4 years managing complex technology products, such as digital products, information systems, data products, or software.
- 2–3 years leading AI, generative AI, or machine learning products in medium-sized or large organizations.
- Demonstrated end-to-end product lifecycle management, including defining KPIs, OKRs, and AI product measures such as response quality, error rates, latency, and cost.
- Strong understanding of LLMs, RAG, embeddings, vector databases, agents, prompt orchestration, evaluation, and guardrails.
- Experience defining evaluation methods for generative AI products and addressing edge cases, confidentiality, and access controls.
- Experience working in cloud environments such as GCP, AWS, or Azure.
- Academic studies in engineering, computer science, or another field; alternatively, software engineering technician studies with product management or relevant courses, or graduation from a military technology unit.
Se valora
- Experience with AWS, particularly Amazon Bedrock, Knowledge Bases, and AgentCore.
- Experience in government, healthcare, insurance, finance, or another highly regulated environment.
- Experience delivering RAG solutions, AI assistants, or agents in complex organizational workflows.
- Experience with product analytics, MLOps, LLMOps, or experiment monitoring.