Responsibilities :

- Define and own the product vision, strategy, and roadmap for AI-powered features and platforms.

- Translate customer and business needs into clear user stories, acceptance criteria, and a well-groomed backlog.

- Partner closely with data science and engineering teams to scope, prioritize, and ship ML/AI capabilities.

- Own sprint planning, backlog grooming, and stand-ups, driving Agile/Scrum delivery end to end.

- Define success metrics and track product and model performance to inform iteration.

- Champion responsible AI data quality, fairness, transparency, and appropriate human oversight.

- Communicate roadmap, trade-offs, and progress to stakeholders, leadership, and clients.

- Conduct discovery, user research, and competitive analysis to validate direction and priorities.

Requirements :

- 7+ years of product management / product ownership experience, including shipping software products end-to-end.

- AI/ML product experience managing products built on machine learning, data, or LLM/GenAI capabilities.

- Strong command of Scrum/Agile, backlog management, and prioritisation frameworks.

- Data fluency comfortable defining metrics, reading analytics, and reasoning about model behaviour and limitations.

- Discovery mindset user research, problem framing, competitive analysis, and turning ambiguity into a clear plan.

- Hands-on with JIRA, Confluence, and product/roadmapping tools.

- Excellent stakeholder management able to align business, engineering, and clients, and communicate roadmap, trade-offs, and progress to leadership.