Product Owner

Product Owner – Telecoms | Ireland | Hybrid | Permanent

Hiring on behalf of a specialist technology company delivering complex transformation programmes for leading telecoms organisations, seeking an experienced Product Owner to support delivery of a major network engineering platform.

Responsibilities

• Own and manage the product backlog for a large-scale Digital Twin programme
• Lead discovery with network engineering, capacity planning, operations, and technical pre-sales teams
• Translate complex telecoms engineering workflows and legacy processes into clear user stories, acceptance criteria, data requirements, and integration needs
• Prioritise work based on value, technical dependencies, and delivery sequencing
• Work with architects, engineers, data teams, AI specialists, and UX designers to shape deliverable solutions
• Support sprint planning, refinement, reviews, demos, and feedback sessions
• Manage scope and challenge requests that do not support the long-term platform direction
• Track delivery outcomes including design cycle time reduction, capacity release, and cost savings

Requirements

• 5+ years' experience as a Product Owner or Product Manager in a software delivery environment
• Strong knowledge of the telecoms or network engineering domain — essential
• Experience working with OSS/BSS, network inventory, planning, or design systems
• Good understanding of transmission, DWDM, ROADM, optical channels, dark fibre, and core/access networks
• Proven experience writing user stories, managing backlogs, and delivering through Agile teams
• Experience with data-heavy products involving legacy systems, integrations, and data quality
• Strong stakeholder management skills at senior engineering and programme level
• Comfortable balancing Agile delivery with enterprise governance and change control

Nice to have

• Experience with network design and inventory platforms such as TNMS, IQGeo, or similar
• Previous involvement in OSS/BSS replacement or network transformation programmes
• Exposure to AI-enabled products, LLMs, RAG, or agent-based systems
• Familiarity with GCP or cloud-native delivery environments

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