Technical Product Manager - AI, Data & Platform Engineering

Xoriant; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Xoriant in Dublin is seeking a Technical Product Manager for AI, Data & Platform Engineering. This contract role is hybrid, requiring three days on-site weekly, and entails owning the roadmap and backlog for cross-functional platforms that span AI, data, agentic systems, and UX enablement.

You will translate business objectives into actionable product plans, lead cross-team collaboration across engineering, data, UX, architecture, and business units, and define epics, features, and acceptance

Qualifications

• Own platform product roadmap and backlog spanning AI, Data, Agentic, and UX enablement.
• Translate objectives into actionable product plans with measurable outcomes.
• Collaborate with engineering, data, UX, security, and architecture teams.
• Define epics, features, user stories, and acceptance criteria.
• Lead roadmap, release planning, and backlog refinement across teams.

Responsibilities

• Lead roadmap planning, release planning, backlog refinement, and prioritization.
• Balance short-term delivery with long-term platform strategy.
• Drive architectural discussions and solution direction with engineering leaders.
• Establish success metrics and KPI frameworks.
• Foster a culture of experimentation and customer obsession.

Skills

Roadmap planning

Backlog management

Stakeholder alignment

Cross-functional leadership

Technical product management

AI/ML platform experience

Data platform experience

Requirements gathering

Agile methodologies

Job description

Technical Product Manager - AI, Data & Platform Engineering

Dublin, IRE

12 Months Contract (with Possible extension)

Hybrid (3 days a week)

• Own product roadmap, and backlog for Platforms spanning across AI, Data, Agentic, and UX enablement capabilities.
• Translate business objectives, customer needs, and technology opportunities into actionable product plans and measurable outcomes.
• Drive internal stakeholder engagement, and requirements gathering across engineering, product, data, UX, architecture, and business teams.
• Define and prioritize epics, features, user stories, and acceptance criteria based on customer value, business impact, technical feasibility, and strategic alignment.
• Lead roadmap planning, release planning, backlog refinement, and prioritization activities across multiple teams and products.
• Own product decisions and trade-offs while balancing short-term delivery goals with long-term platform strategy.
• Partner closely with engineering and architecture leaders to shape scalable, reusable, and secure platform capabilities.
• Provide product leadership for AI & Agentic Systems, Data Platforms, API Products, Cloud-Native Architectures, and Platform Engineering initiatives.
• Drive technical discussions, architecture reviews, and solution direction with a strong understanding of engineering constraints and opportunities.
• Identify opportunities for platform reuse, standardisation, automation, and developer productivity improvements.
• Lead cross-functional alignment across product, engineering, UX, data, security, operations, and executive stakeholders.
• Communicate product strategy, roadmap progress, risks, dependencies, and business outcomes to senior leadership.
• Establish success metrics, adoption goals, and KPI frameworks to measure product effectiveness and value realization.
• Foster a culture of customer obsession, continuous learning, experimentation, and innovation.
• Product-minded and technically credible with the ability to earn trust from engineers, architects, and executives alike.
• Passionate about AI, data, platform strategy, and emerging technologies.
• Comfortable operating in ambiguity, defining new products, and creating clarity where none exists.
• Strong analytical and problem-solving skills with the ability to evaluate technical and business trade-offs.
• Focused on outcomes, customer value, adoption, and measurable business impact rather than feature delivery alone.
• Demonstrated ability to influence without authority and drive execution across large, distributed organizations.
• Experience building and scaling enterprise platforms, developer tools, data products, AI solutions, or shared capabilities serving multiple teams and products.