Senior Product Manager (Data & AI)

  • Dublin
  • Permanent
  • Wed Feb 25 17:30:17 2026
  • 213497

Product Manager (AI & Data)
Location: Dublin (Hybrid)
Type: Permanent

Overview

An AI infrastructure organisation is hiring a Product Manager to lead strategy and delivery across its enterprise privacy and AI governance platform.

This role sits at the intersection of AI, data governance, and enterprise SaaS. You will own roadmap priorities, translate complex regulatory and enterprise requirements into clear product direction, and partner closely with Engineering and Design to deliver measurable product impact.

Key Responsibilities

Product Strategy
Define and execute quarterly roadmaps aligned to company objectives
Prioritise features based on customer impact, business value, and technical feasibility
Conduct competitive and market analysis to inform product direction

Product Delivery
Translate enterprise privacy and AI governance needs into clear user stories and acceptance criteria
Maintain a structured, prioritised backlog
Drive MVP releases with rapid iteration based on user feedback and analytics

Cross Functional Leadership
Partner with Engineering on architecture and technical trade offs
Collaborate with Design to deliver intuitive enterprise experiences
Align Sales, Customer Success, and leadership stakeholders around product priorities

Data and Performance
Define and track key product metrics
Use analytics and experimentation to validate hypotheses
Drive continuous improvement using qualitative and quantitative insights

Required Experience

5 plus years Product Management experience within B2B or enterprise SaaS
Proven track record delivering complex products from concept through launch
Hands on experience building AI or LLM enabled products in production
Strong understanding of AI governance and responsible AI practices
Technical fluency across APIs, integrations, and distributed systems
Experience working with enterprise customers managing security and compliance requirements

Desirable Experience

Exposure to privacy regulations such as GDPR or CCPA
Background in data governance, consent management, or identity solutions
Experience in high growth startup environments
Strong product analytics capability
Technical background with ability to engage deeply with engineering

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