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amIT Global Solutions Sdn Bhd is seeking an AI Product Manager to drive end-to-end development and lifecycle management of AI-powered products across multiple industries. You will translate customer needs into scalable solutions, lead strategy, define roadmaps, and oversee execution from concept to commercialization.
The role emphasizes identifying high-value AI opportunities, validating use cases, and delivering measurable business impact through agile product practices and cross-functional
The AI Product Manager is responsible for driving the end-to-end development and lifecycle management of AI-driven products and solutions, from opportunity identification and product strategy to execution and commercialization. This role works closely with business, technology, and cross-functional teams to translate customer needs and business challenges into scalable AI-powered products that deliver measurable value. The role focuses on defining product vision, prioritizing roadmaps, validating use cases, and ensuring successful product delivery while adapting to evolving AI technologies, market trends, and customer demands. The AI Product Manager is expected to build innovative, customer-centric, and commercially viable AI solutions that support business growth, operational efficiency, and digital transformation across multiple industries.
Conduct market analysis, customer discovery, and business needs assessment to identify high-value AI opportunities and validate use cases aligned with business goals.
Define product vision, strategy, and roadmap for AI-driven products, ensuring alignment with business priorities, customer needs, and technology capabilities.
Develop product requirements, user stories, and solution frameworks by translating business problems into AI-driven product specifications.
Lead end-to-end product development in collaboration with engineering, data, and design teams to ensure timely and effective product delivery.
Plan and execute go-to-market strategies, including product positioning, stakeholder enablement, and commercialization planning to drive adoption and market success.
Monitor product performance, user adoption, and business impact, using data-driven insights to identify improvement opportunities and optimize product outcomes.
Manage the product lifecycle, including iteration, enhancement, scaling, and innovation to ensure long-term competitiveness and evolving market relevance.