Senior Manager of Product Development, AI Development

Job Description Senior Manager of Product – Emerging AI Development

Location:

Ireland (Dublin), United Kingdom (London), or Netherlands (Amsterdam)

Job Type: Permanent, Hybrid (3 days per week onsite)

Hours:

Full time

The Senior Manager of Product drives the successful delivery of both third-party and proprietary, AI-powered digital solutions by owning product vision, managing the product backlog, and maximizing value delivered in each iteration. Serving as the voice of the customer, this role partners closely with business stakeholders, end users, data scientists, and product development teams to translate complex needs into clear features, model-driven capabilities, and user stories.

This position operates in an outcome-driven environment and balances business value, customer impact, technical feasibility, and model performance. The role also helps teams navigate the unique evaluation cycles and responsible AI considerations associated with agentic AI solutions across a global landscape. Occasional travel may be required based on business needs.

• Define, refine, and communicate the product vision and roadmap, including agentic AI capabilities, aligning outcomes to business strategy and customer needs
• Own and continuously groom a prioritized product backlog across development, data, and evaluation work streams to ensure clarity, feasibility, and value delivery
• Translate business needs into actionable user stories with clear acceptance criteria, including AI quality measures (e.g., accuracy, latency, robustness, error/hallucination thresholds where applicable)
• Lead stakeholder engagement and expectation management across business leaders, customers, and cross-functional delivery teams, including transparent communication of model capabilities, limitations, and trade-offs
• Partner with Scrum teams throughout sprint planning, reviews, and retrospectives, adapting Agile delivery to accommodate research spikes, model training/fine-tuning cycles, and evaluation-driven workflows
• Drive incremental value delivery through experimentation, prototyping, and feedback loops; use data-informed decision-making to guide prioritization and roadmap adjustments
• Make timely decisions under uncertainty, balancing scope, schedule, resources, model performance, speed, and cost while removing blockers and resolving ambiguity
• Conduct or leverage market research, competitive benchmarking, and user feedback to inform product direction, including AI/ML and LLM capability trends
• Support internal communication and enablement through documentation, updates, and education that help teams and stakeholders understand AI functionality and responsible use
• Monitor product and model performance post-release (including drift and degradation) and lead continuous improvement using emerging AI and responsible AI best practices.

• Bachelor’s degree in Business, Computer Science, Information Systems, Liberal Arts, or a related field (or equivalent practical experience)
• Typically 5+ years (minimum 3–5+ years) of experience as a Product Owner or similar role delivering products in Agile environments (Scrum/Kanban)
• 2+ years of experience in financial regulatory and/or compliance domains
• Experience delivering AI, machine learning, or data-driven products, including exposure to agentic AI development
• Working knowledge of the AI/ML product development lifecycle (data collection/labeling, training/fine-tuning, evaluation, deployment, monitoring)
• Solid technical literacy across APIs, cloud services, SDLC, and modern software architecture; proficiency with Agile tools such as Jira, Version One, Confluence
• Strong communication, collaboration, and negotiation skills, with demonstrated ability to align diverse stakeholders and global teams
• Understanding of responsible AI concepts (safety, fairness, bias mitigation, explainability, data privacy, and relevant regulatory considerations).

• Agile certification such as CSPO, SAFe PO/PM, or equivalent
• Knowledge of integration and enterprise architecture concepts (e.g., REST, SOAP, microservices)
• Experience with data-informed product management and basic…