Senior Manager of Product Development, AI Development

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

About the Role

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.

Key Responsibilities

• 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 workstreams 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.

Required Experience

• 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).

Preferred Experience

• 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 familiarity with analytics tools and KPI definition
• Exposure to enterprise infrastructure environments and/or AI governance, model risk management, or responsible AI frameworks.

 

 

#LI-EO1 #hybrid

• Own and articulate the product vision, ensuring alignment with business goals and customer needs.
• Manage the product backlog, prioritizing initiatives based on value, impact, and feasibility.
• Collaborate with cross-functional teams, including data scientists, ML engineers, and software developers, to define and refine product features.
• Translate complex business and technical requirements into clear, concise user stories.
• Ensure value delivery in every iteration, using iterative development and experimentation.
• Make data-informed decisions, leveraging analytics to optimize product performance and user experience.
• Navigate the unique challenges of building with machine learning and generative AI, including uncertainty and responsible AI considerations.
• Foster a collaborative environment, facilitating effective communication and alignment between business and technical teams.
• Stay updated with industry trends and advancements in AI and ML, incorporating best practices into product development.

• Bachelor's degree in Computer Science, Engineering, or a related field; advanced degree preferred.
• 8+ years of experience in product management, with a proven track record in AI/ML product development.
• Demonstrated success in driving product vision and strategy, with a focus on value delivery.
• Strong collaboration and communication skills, with the ability to build relationships across diverse teams.
• Experience working with agile methodologies and iterative development processes.
• Proficiency in using analytics and data-driven decision-making to optimize products.
• Understanding of machine learning and generative AI concepts and their unique development considerations.
• Ability to navigate complex, global landscapes and align stakeholders towards a common goal.
• Excellent problem-solving and critical thinking skills, with a results-oriented mindset.
• Willingness to travel as required for business needs and to support global product development.