AI Product Manager

We're seeking a product leader to manage a portfolio that includes AI-enabled offerings and take ownership of how our Product Management group implements AI — covering strategy, standards, investment decisions, governance, and capability growth. You'll lead and develop a team of Product Managers, hold full ownership of product strategy and P&L across the portfolio, and strengthen the organization's product-AI proficiency

Responsibilities

• Direct and build up a team of Product Managers managing a portfolio containing AI-powered products, while fully owning strategy, vision, and P&L across the portfolio
• Build an AI-informed product strategy that identifies competitive edges against commoditization and arranges roadmaps in line with technological progress
• Lead build, buy, and partnership investment choices for AI capabilities, manage business cases and ROI measurements, and oversee experimentation funding
• Oversee AI feature economics and lifecycle activities, including cost tracking, latency enhancement, pricing strategies, and vendor or model drift determinations
• Create organizational standards, operating models, and review gates for AI feature development to maintain steady quality and responsibility
• Manage responsible AI governance practices covering data privacy, algorithmic bias, security, transparency, human oversight, and regulatory compliance
• Strengthen the team's AI capabilities through dedicated coaching, shared playbooks, prompt and agent libraries, and strict hiring criteria
• Support smooth cross-functional cooperation across engineering, data science, design, and machine learning teams while keeping product accountability intact
• Act as the organization's representative on AI product strategy and roadmap matters when working with senior clients and stakeholders

Requirements

• A minimum of 7 years of relevant Product Management experience with proven success managing product lines and leading PM or PO teams
• Track record of launching 3 or more products successfully, including advanced AI-driven features
• Clear ownership history of complete product vision, strategic roadmaps, portfolio alignment, and P&L management
• Capability in financial modeling and portfolio analysis for prioritizing budget allocation by ROI and evaluating AI business cases
• Extensive subject matter expertise spanning multiple business areas, with sharp awareness of technological disruption and market trends
• Practical AI literacy covering foundational concepts, capabilities, and boundaries to guide technical proposals and investment decisions
• Executive-level capability in shaping organizational strategy, communicating complex direction to senior stakeholders, and driving critical business KPIs
• Ability to build operational frameworks for AI application and elevate team performance through structured enablement and mentoring
• Strong command of AI-driven portfolio strategy, investment decisions, and roadmap sequencing
• Wide-ranging knowledge of responsible AI governance, including privacy, security, auditing, and regulatory standards like the EU AI Act
• Proficiency in managing AI feature economics, unit economics, infrastructure costs, and model lifecycle decisions
• Advanced ability to evaluate AI prototypes, technical proposals, and experimental initiatives
• Regular hands-on application of AI tools within daily workflows to stay adaptable as technology continues to develop
• Strong English communication skills at a C1 level or higher, ensuring effective collaboration across regions

Nice to have

• Practical, hands-on experience with advanced AI prototyping and feature development for improved technical feasibility assessment
• Visible participation in external thought leadership through speaking engagements, published work, and professional community involvement
• Organizational experience setting up enterprise-scale AI governance and enablement programs