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 organization's product\-AI capability. **What "Applied AI" means at Director level.** The emphasis shifts from doing the hands\-on AI work to **judging it, funding the right AI bets and setting the guardrails.** This is a product\-leadership role — not an engineering, data\-science or AI\-research role. You set direction and standards for the specialists who build. **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 **Requirements** * 7\+ years in Product Management, having managed products, product lines/families and/or groups, with experience leading PM/PO teams; developed and/or launched 3\+ products to market, including AI\-powered products or capabilities * Ownership of product vision, roadmap and P\&L, and of strategic roadmap alignment across a portfolio * Portfolio analysis and strategy formulation; prioritizing spend by ROI and supporting financial models — including AI business cases and build/buy/partner decisions * Track record aligning product strategy with new technologies, assessing and adopting emerging AI capabilities responsibly * SME across multiple (3\+) business domains; deep grasp of consumer trends, technological disruption and competitive factors — including how AI is reshaping the domain * AI literacy sufficient to lead — understands AI concepts, capabilities and limitations well enough to make sound portfolio and investment decisions and to challenge technical proposals credibly; ML\-engineering / data\-science depth is not required * Able to shape company product strategy, convey difficult messages to senior stakeholders and own key initiatives and business KPIs * Leads, develops and champions a team of Product Managers across a multi\-product portfolio; identifies and plans for performance improvement * Sets the operating model for how the team applies AI, and raises its proficiency through enablement, coaching and a clear hiring bar * AI\-informed product/portfolio strategy — advantage vs commoditization, build/buy/partner, AI business cases and ROI, roadmap sequencing against AI capability * Responsible\-AI governance across the portfolio — privacy, bias, security, transparency, human oversight, audit trails/incident response and relevant regulation * Ownership of AI\-feature economics and lifecycle — cost, latency, unit economics, pricing, drift/versioning/vendor decisions * Setting AI standards and review gates for how the team builds AI features and uses AI * Raising team AI capability — enablement, coaching, playbooks, shared tooling, hiring bar * Ability to evaluate AI outputs, prototypes and technical proposals and fund the right bets * Working AI literacy — concepts, capabilities and limitations sufficient to lead and challenge * Continued practical use of AI in own work and adaptability as AI evolves * Ability to direct effective collaboration across engineering, data, design and AI/ML teams **Nice to have** * Deep hands\-on AI prototyping or feature\-building (valued, but expected to plateau here — it is the Senior PM / IC strength; the Director's job is to judge and fund, not build) * External thought leadership on AI product management (talks, publications, community) * Direct experience standing up a