Technical Product Manager - AI, Data & Platform Engineering

Role Overview

This position is a 12-month contract role based in Dublin, Ireland, requiring onsite presence three days a week. The Technical Product Manager will oversee the product roadmap and backlog for platforms involving AI, data, agentic systems, and user experience capabilities.

Responsibilities

• Develop and maintain the product roadmap and backlog for platform initiatives encompassing AI, data, agentic, and UX enablement features.
• Convert business goals, customer demands, and technological opportunities into clear product plans with quantifiable results.
• Facilitate collaboration and gather requirements from cross-functional teams including engineering, product, data, UX, architecture, and business units.
• Set priorities and define epics, features, user stories, and acceptance criteria based on business value, feasibility, and strategic goals.
• Manage roadmap and release planning, backlog refinement, and prioritization across multiple teams and product lines.
• Take ownership of product-related decisions and trade-offs, balancing immediate delivery with long-term platform strategies.
• Collaborate closely with engineering and architecture leadership to develop scalable, reusable, and secure platform capabilities.
• Lead product initiatives related to AI & agentic systems, data platforms, API products, cloud-native architectures, and platform engineering.
• Conduct technical discussions, architecture reviews, and guide solution direction with a comprehensive understanding of engineering constraints and potentials.
• Identify and promote platform reuse, standardization, automation, and enhancements in developer productivity.
• Coordinate alignment across multiple disciplines including product, engineering, UX, data, security, operations, and executive leadership.
• Communicate strategy, progress, risks, dependencies, and business impacts to senior management.
• Define success measures, adoption targets, and KPIs to evaluate product effectiveness and value realization.
• Encourage a culture focused on customer obsession, continuous improvement, experimentation, and innovation.

Candidate Profile

• A product-oriented professional with technical credibility capable of gaining trust from engineers, architects, and executives.
• Enthusiastic about AI, data, platform strategy, and emerging technologies.
• Comfortable navigating ambiguity by creating clarity and defining new products.
• Strong analytical and problem-solving skills to assess technical and business trade-offs.
• Prioritizes outcomes, customer value, adoption, and measurable business impacts rather than just feature delivery.
• Proven ability to influence across large, distributed organizations without formal authority.
• Experience in developing and scaling enterprise platforms, developer tools, data products, AI solutions, or shared platform capabilities serving multiple teams and products.