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