AI Product Manager

We are looking for a product leader to run a portfolio that includes AI-powered products and to own how our Product Management team applies AI — the strategy, standards, investment decisions, governance and team capability. You will lead and develop a team of Product Managers, own product strategy and P&L across the portfolio, and raise the organisation's product-AI capability. Responsibilities Lead and develop a team of Product Managers running a portfolio that includes AI-powered products while taking full ownership of product strategy, vision, and P&L across the portfolio Formulate an AI-informed product strategy that identifies competitive advantages against commoditisation and sequences roadmaps according to technological advancements Drive build, buy, and partnership investment decisions for AI features, oversee business cases and ROI metrics, and manage experimentation funding Manage AI feature economics and lifecycle operations including cost tracking, latency optimization, pricing models, and model drift or vendor decisions Establish organizational standards, operating models, and review gates for AI feature development to ensure consistent quality and responsibility Oversee responsible AI governance protocols covering data privacy, algorithmic bias, security, transparency, human oversight, and regulatory compliance Elevate team AI competencies through targeted coaching, shared playbooks, prompt and agent libraries, and rigorous hiring standards Facilitate seamless cross-functional collaboration across engineering, data science, design, and machine learning teams while maintaining product accountability Represent the organization authoritatively on AI product strategy and roadmap initiatives with senior clients and stakeholders Requirements Minimum of 7 years of professional experience in Product Management with a proven track record of managing product lines and leading PM or PO teams Successfully developed and launched 3 or more products to market including advanced AI-powered capabilities Demonstrated ownership of comprehensive product vision, strategic roadmaps, portfolio alignment, and P&L management Financial modeling and portfolio analysis expertise for prioritizing budgets based on ROI and evaluating AI business cases Deep subject matter expertise across multiple business domains with a sharp understanding of technological disruption and market trends Working AI literacy covering fundamental concepts, capabilities, and limitations to guide technical proposals and investment decisions Executive leadership capability in shaping company strategy, communicating complex directives to senior stakeholders, and driving key business KPIs Proficiency in setting operational frameworks for AI application and raising team performance through structured enablement and coaching Mastery of AI-driven portfolio strategy, investment decision-making, and roadmap sequencing Comprehensive knowledge of responsible AI governance including privacy, security, auditing, and regulatory standards such as the EU AI Act Expertise in managing AI feature economics, unit economics, infrastructure costs, and model lifecycle decisions Advanced skills in evaluating AI prototypes, technical proposals, and experimental bets Continued practical integration of AI tools into daily workflows to maintain adaptability as technology evolves Fluent English communication skills at a C1 level or higher ensuring effective cross-border collaboration Nice to have Direct hands-on experience with advanced AI prototyping and feature building to better evaluate technical feasibility Active external thought leadership participation through industry talks, publications, and professional community engagement Direct organizational experience establishing enterprise-scale AI governance and enablement programs