Senior Product Manager | Applied AI

Responsibilities

• Own the vision, strategy, roadmap and end-to-end delivery of one or more products, including at least one that is AI-powered
• Define requirements and use cases for AI features, treating them as probabilistic products — scoping data and use-case fit, and setting evaluation criteria, quality bars, guardrails and human-in-the-loop review as acceptance criteria
• Identify where AI can improve the product, the customer experience, internal processes or business outcomes — and build and size the case for it
• Use AI tools productively and with discipline across discovery, research synthesis, analysis, documentation, user stories, prototyping and planning — verifying outputs before relying on them
• Prioritise features, own the backlog and manage release cycles, using AI-assisted analysis to support (not replace) your decisions
• Manage the full product lifecycle, including the added considerations of AI features — model/version changes, quality drift and human oversight
• Work closely with engineering, data, design and AI/ML teams, translating product intent into requirements they can act on and their constraints into product decisions
• Set realistic expectations with clients and stakeholders about what AI can and cannot do, and communicate benefits, limitations and risks in plain language
• Mentor Product Managers and raise the team's practical AI capability by example

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