Technical Product Manager – GenAI Programmes

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Technical Product Manager – GenAI Programmes based in Ireland.

This is a high-impact opportunity to lead the delivery of multiple enterprise GenAI initiatives from concept through <production.You> will own AI use cases across requirements definition, proof of concept, MVP development, and early production stabilisation.The role sits at the intersection of product strategy, technical delivery, and business <transformation.You> will translate complex business objectives into clear technical direction for engineering and AI teams.Working across several parallel AI streams, you will coordinate architects, engineers, data scientists, and UX <specialists.You> will also engage senior stakeholders, manage delivery risks, and communicate progress in a high-visibility environment.The position is ideal for a technically fluent product leader who can bring structure, momentum, and business value to complex GenAI programmes.

Accountabilities

• Own the end-to-end delivery of assigned GenAI use cases, from requirements and proof of concept through MVP and early production stabilisation.
• Translate business objectives into structured technical direction aligned with GenAI, LLM, and enterprise architecture patterns.
• Develop detailed requirements covering data sources, AI processing logic, validation approaches, expected outputs, and acceptance criteria.
• Define scope, priorities, milestones, and delivery roadmaps across multiple concurrent AI initiatives.
• Coordinate architects, backend engineers, data scientists, UX teams, and other technical stakeholders to maintain delivery alignment.
• Ensure LLM integrations, retrieval mechanisms, and agent workflows remain focused on measurable business outcomes.
• Identify and proactively manage delivery risks, dependencies, constraints, and stakeholder expectations.
• Lead product demonstrations, progress reviews, and executive updates for senior business stakeholders.
• Support operational readiness, knowledge transfer, handover, and early-stage production support.
• Help establish effective delivery governance and maintain momentum across a complex, enterprise-scale transformation programme.

Requirements

• 5–10 years of experience in Product Management, Technical Programme Management, Engineering Leadership, or a closely related discipline.
• Strong conceptual understanding of Generative AI and LLM-based systems, with the ability to communicate technical concepts effectively to both technical and business audiences.
• Practical understanding of RAG architectures, agent workflows, embeddings, vector databases, and data orchestration.
• Experience delivering multi-component enterprise technology solutions from initial concept through implementation.
• Proven ability to manage senior stakeholders, facilitate executive communication, and align diverse teams around shared objectives.
• Strong analytical and organisational skills, with the ability to structure ambiguity and translate complex requirements into actionable direction.
• Demonstrated ownership, delivery discipline, and the ability to proactively identify and resolve blockers.
• Experience working across multiple concurrent initiatives while maintaining clear priorities and accountability.
• Familiarity with cloud-based AI architectures and orchestration platforms is advantageous.
• Experience in regulated or compliance-heavy environments, AI transformation, or enterprise digital programmes is a plus.

Benefits

• Competitive salary aligned with experience and responsibilities.
• Opportunity to work on large-scale GenAI transformation programmes with international stakeholders.
• Exposure to multiple enterprise AI use cases and emerging LLM technologies.
• Comprehensive healthcare coverage.
• Long-term B2B contract with a stable project pipeline.
• Fully remote working model.
• Multinational environment offering collaboration across international teams.
• High-visibility role with the opportunity to influence AI product strategy and enterprise delivery.