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amIT Global Solutions Sdn Bhd is seeking an AI Product Manager to lead end-to-end AI product lifecycle, from opportunity identification to commercialization. You will translate business needs into scalable AI solutions and align with strategic objectives across departments.
The role requires strong market analysis, roadmap development, and collaboration with engineering, data science, UX, and sales to deliver measurable business value in a dynamic tech landscape.
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.