MAP
AI Product Director
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Role Summary
You'll decide which agentic systems are worth building to transform how millions of customers experience brands every day: from a beverage giant's marketing campaign to a global retailer's in-store assistant or an iconic carmaker's ownership journey. You own product direction, investment, and commercial performance across a portfolio of AI Accelerators that we bring to our clients. You'll decide where to invest in reusable AI Accelerators, ensure AI Consultants can scale them across clients, and line manage a team of AI Product Managers delivering the work. The hard, interesting part of this job is that we're an agency first: sold client work will sometimes have to win over product ambition, and your job is to find the pragmatic path anyway — pulling a reusable pattern, a piece of IP, or a genuine lesson out of bespoke work rather than treating it as a dead end.
What will your day look like?
- Deliver AI Solutions to Clients: Lead AI Product Manager team to successfully deliver state-of-the-art agentic solutions in collaboration with AI Solution Consultants, AI Engineers, and AI Architects.
- Set Strategic Vision & Portfolio Strategy: Define the AI product vision across domains and make data-driven investment decisions, including building business cases to fund AI Accelerators based on effort/value, unit economics, and margins.
- Drive Commercial Performance: Maintain commercial accountability (revenue, cost, margin), prioritization, and investment calls across the AI Accelerator portfolio.
- Build Reusable Scalable Assets: Lead the creation of reusable AI product assets that allow teams to scale selling existing solutions across clients rather than building from scratch every time.
- Establish Product Excellence: Make deliberate build-vs-reuse choices and set the standard for discovery, scoping, and success metrics across the PM team while maintaining a deep view of the evolving AI product landscape.
- Act as an Executive Advisor: Serve as a trusted product advisor to senior client stakeholders and internal leadership on high-stakes investment and product decisions.
- Lead & Mentor: Line manage, mentor, and coach a team of AI Product Managers on product practice and delivery discipline.
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Who are you going to work with?
- AI Product Managers: Your direct team, whom you will line manage, mentor, and coach in product discipline and execution.
- AI Solution Consultants: Key partners who will take your scalable AI Accelerators to client accounts and deploy them at scale.
- Engineers & Architects: Technical counterparts with whom you’ll evaluate system design trade-offs, technical feasibility, and build-vs-buy decisions.
- Senior Clients & Executive Leadership: High-level stakeholders whom you will guide through strategic AI investments and product decisions.
- Cross-Functional Client Delivery Teams: Account leaders and delivery teams with whom you'll navigate competing account priorities and resource allocation.
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What do you bring to the table?
- AI-native: You work with the agent in the middle, and you have built things with AI tools such as Claude, ChatGPT or Cursor: a workflow you automated, a skill others use, a tool you wired together. We will ask you to walk us through the process, not just the output.
- Product Leadership: Significant experience owning strategy, roadmaps, and delivery for AI-enabled products or platforms.
- Client Delivery Experience: Proven ability to drive AI Accelerator development within client delivery environments while balancing competing account priorities and engineering capacity.
- People Leadership: A proven track record of managing, coaching, and mentoring product managers in delivery discipline.
- Commercial Acumen: Strong commercial judgment with experience building investment cases, evaluating unit economics/margins, and making credible build-vs-buy/reuse decisions based on market research.
- Technical Fluency: Ability to credibly discuss system architecture, technical trade-offs, and design with engineers and architects.
WPP (MAP/VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.
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