Director, Product Management | Applied AI

Responsibilities

• Lead and develop a team of Product Managers running a portfolio that includes AI-powered products; own product strategy, vision and P&L across that portfolio
• Set an AI-informed product strategy — where AI creates durable advantage, where it is commoditizing, and how to sequence the roadmap against advancing AI capability
• Make build / buy / partner and investment decisions for AI capabilities; own AI business cases and ROI; fund the right experiments and know when to stop them
• Own AI-feature economics and lifecycle across the portfolio — cost, latency, unit economics, pricing, and model-lifecycle decisions (drift, versioning, vendor change)
• Set the standards, operating model and review gates for how the team builds AI features and uses AI in its own work, so quality and responsibility are consistent
• Own responsible-AI governance — privacy, bias, security, transparency, human oversight, audit trails, incident response, and applicable regulation (e.g., EU AI Act) and sector rules
• Raise the team's AI capability through coaching, playbooks, shared prompt/agent libraries and an AI component in the hiring bar; advise business units or clients on adoption
• Direct effective collaboration across product, engineering, data, design and AI/ML teams, keeping product intent, constraints and accountability clear
• Represent the organization credibly on its AI product strategy with senior clients — setting realistic expectations rather than over-promising

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