Technical Product Manager – 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.