Lead AI Product Manager

Overview

As Lead AI Product Manager at MPB, you define a sequenced programme turning AI potential into real value for the business and customers. You’ll own the AI Automation Hub backlog and delivery rhythm, framing experiments with clear hypotheses. You’ll collaborate with the AI Scientist to define success criteria and guide production-ready AI tooling, coaching teams to adopt responsible AI use. You’ll translate ideas into practical prototypes and influence senior stakeholders with data-backed recommendations. This role offers ownership in a small, autonomous hub focused on meaningful, production-grade AI impact.

Responsibilities

• Own backlogs, prioritisation, and lifecycle of Hub work to deliver high-value AI use cases
• Frame experiments with sharp hypotheses and define success metrics with the Decision & AI Scientist
• Steward ideas from prototype to production and collaborate with engineers and data scientists
• Coach cross-functional teams on the Innovation Framework to scope, test, and adopt AI use cases
• Make clear, data-backed recommendations to senior stakeholders on go/kill/scale decisions
• Demonstrate progress with working prototypes and evaluated demos to secure buy-in

Key requirements

• Hands-on product management experience with AI and/or data-driven products
• Practical grasp of LLMs, agentic patterns, RAG, and automation tools like n8n or Zapier
• Experience running AI Evals or similar quality frameworks for non-deterministic systems
• Hypothesis-driven mindset with tight scoping and honest evaluation
• Confidence with Jira, Figma and FigJam, and prototyping tools such as Figma Make or Lovable
• Trusted-advisor communication across exec to functional teams in a self-directed squad

• Trusted-advisor communication
• Ownership and accountability
• Creativity and pragmatic judgment
• LLMs and agentic AI concepts
• RAG (Retrieval-Augmented Generation)
• Automation tooling (n8n, Zapier)

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