#EG AI Product Manager at NCS3

We are seeking a highly motivated AI Product Manager to lead the development and launch of innovative AI-powered products that create real impact for our clients and their users. In this role, you will work at the intersection of research, engineering, design, and business to transform cutting-edge AI capabilities into intuitive, user-centric experiences. You will guide products from initial concept through prototyping, execution, launch, and ongoing iteration—turning ambiguity into opportunity and AI breakthroughs into market-ready solutions. The ideal candidate thrives in fast-paced environments, understands how to translate advanced AI/ML technologies into practical applications, and excels at cross-functional collaboration to deliver products that matter.   What will you do? Product Strategy & Innovation • Identify and define AI product opportunities by exploring user needs, market gaps, and emerging research trends within ambiguous or evolving environments • Incorporate data, research, and market analysis to inform product strategies and roadmaps • Map emerging AI models and research advancements to practical, scalable product opportunitiesCross-Functional Leadership • Collaborate closely with research and engineering teams to translate AI breakthroughs into intuitive, user-centric product features • Work seamlessly with engineering, UX/UI, research, legal, marketing, and other stakeholders to deliver successful products • Ensure alignment of product requirements with technical constraints, model performance, and strategic partner needsProduct Lifecycle Management • Drive the full product lifecycle: from ideation, prototyping, and technical scoping to launch, iteration, and long-term roadmap planning • Bring AI/ML products from concept (0-to-1) to market in fast-paced or entrepreneurial environments • Champion continuous improvement through data-driven iteration and user feedbackCommunication & Stakeholder Management • Develop clear narratives and positioning to articulate the value and differentiation of AI-driven solutions for both internal stakeholders and clients • Craft compelling product stories that resonate with technical teams and business partners alikeResponsible AI Practices • Champion responsible AI principles to ensure product decisions align with ethical standards, fairness, transparency, and user trust • Embed governance, accountability, and risk management throughout the AI product lifecycle