AI Product Manager

We're in search of a product leadership professional to manage a portfolio encompassing AI-powered products and take ownership of how our Product Management team applies AI — including strategy, standards, investment decisions, governance, and team capability. You'll lead and build out a team of Product Managers, hold ownership of product strategy and P&L across the portfolio, and elevate the organization's AI-driven product skills Responsibilities Manage and develop a team of Product Managers overseeing a portfolio that includes AI-powered products, while maintaining full ownership of strategy, vision, and P&L across the portfolio Shape an AI-informed product strategy that highlights competitive advantages against commoditization trends and arranges roadmaps according to technological change Guide build, buy, and partnership investment choices for AI functionality, manage business cases and ROI indicators, and supervise experimentation spending Handle AI feature economics and lifecycle responsibilities, including cost monitoring, latency optimization, pricing approaches, and vendor or model drift decisions Define organizational standards, operating models, and review gates for AI feature work to preserve consistent quality and accountability Oversee responsible AI governance processes covering data privacy, algorithmic bias, security, transparency, human oversight, and regulatory compliance Develop team AI skills through focused coaching, shared playbooks, prompt and agent libraries, and demanding hiring standards Drive effective cross-functional collaboration spanning engineering, data science, design, and machine learning teams while maintaining product accountability Serve as the organization's voice on AI product strategy and roadmap direction when engaging senior clients and stakeholders Requirements A minimum of 7 years of relevant, hands-on Product Management experience with demonstrated success managing product lines and leading PM or PO teams Proven history launching 3 or more products to market, including advanced AI-powered functionality Clear track record owning full product vision, strategic roadmaps, portfolio alignment, and P&L responsibility Strong skills in financial modeling and portfolio analysis for prioritizing budget decisions by ROI and evaluating AI business cases Substantial subject matter expertise across multiple business domains with keen insight into technological disruption and market trends Functional AI literacy spanning core concepts, capabilities, and limitations to inform technical proposals and investment choices Executive leadership ability in shaping organizational strategy, communicating complex direction to senior stakeholders, and driving key business KPIs Skilled at establishing operational frameworks for AI deployment and raising team performance through structured enablement and coaching Deep command of AI-driven portfolio strategy, investment decision-making, and roadmap sequencing Comprehensive understanding of responsible AI governance including privacy, security, auditing, and regulatory requirements such as the EU AI Act Capable in managing AI feature economics, unit economics, infrastructure costs, and model lifecycle decisions Advanced skill in evaluating AI prototypes, technical proposals, and experimental initiatives Ongoing hands-on integration of AI tools into regular workflows to stay adaptable as technology progresses Strong English communication skills at a C1 level or higher, supporting effective collaboration across borders Nice to have Hands-on experience with advanced AI prototyping and feature building to strengthen technical feasibility assessments Active participation in external thought leadership through industry talks, publications, and professional community engagement Direct experience establishing enterprise-scale AI governance and enablement programs within an organization