Find Ai/ml engineer Jobs in Sandyford County Dublin

Lead Technical Product Manager
Mastercard —Dublin, County Dublin
- Full-time
- Product management
- Agile
- AI
Senior Manager of Data Engineering
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- SQL
- AWS
- AI
Hardware Solutions Engineer
AMAX —Dublin, County Dublin
- Full-time
- Computer Science
- Analysis skills
- Bachelor's degree
Quick apply
Senior Software Engineer
BLP Digital AG —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- System design
19h
ASIC Digital Design, Principal Engineer
Synopsys —Dublin, County Dublin
- Computer Science
- Engineering
- Bachelor's degree
Senior AI Large Language Model (LLM) Architect
Accenture —Dublin, County Dublin
- Full-time
- Master's degree
- Bachelor's degree
- AI
2d
Sr Engineering Manager, Info Sec
eBay Inc. —Dublin, County Dublin
- Full-time
- Azure
- AWS
- Product management
Senior Data Scientist
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Master's degree
- AWS
15h
Senior Technical Consultant
Asana —Dublin, County Dublin
- €105,000–€119,000 a year
- Sales
- AI
- Python
- Work from home
Quick apply
11d
Partner Solutions Architect
Nebius —Dublin, County Dublin
- Remote
- Azure
- AWS
- AI
Quick apply
Growth Account Executive, Startups
Anthropic —Dublin, County Dublin
- €155,000–€205,000 a year
- Sales
- Bachelor's degree
- Continuous improvement
4d
Lead Program Security Engineer
Mastercard —Dublin, County Dublin
- Full-time
- DevOps
- AI
- Leadership
Architect
TestReach —Dublin, County Dublin
- Azure
- Computer Science
- DevOps
Senior NPU SDK Software Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Senior Engineering Manager, Customer Agent
Intercom —Dublin, County Dublin
- Hybrid work
- Sales
- AI
- Work from home
Senior Sales Operations Analyst
MongoDB —Dublin, County Dublin
- Hybrid work
- Azure
- Sales
- SQL

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Lead Technical Product Manager

Mastercard -
Dublin, County Dublin

Apply Now

Job details

Full-time

Qualifications

SAFe
Product management
Agile
AI
Analytics

Full job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Lead Technical Product Manager

Overview

We are seeking a Lead Technical Product Manager to drive the definition, execution, and operationalisation of AI-powered products and services. This role will be responsible for managing AI rules, operational processes, platform capabilities, and product delivery while partnering with engineering, data science, business, risk, and operations teams.

The ideal candidate combines strong product management expertise with technical depth in AI/ML systems, platform products, APIs, data services, and operational workflows. The individual will ensure AI solutions are scalable, reliable, measurable, and aligned with business objectives. This aligns with the responsibilities of Lead Product Manager-Technical roles found internally, including ownership of roadmap, backlog, feature prioritisation, delivery, and operational performance.

Key Responsibilities
Product Strategy & Roadmap
Define product vision and roadmap for AI-powered capabilities and operational services.
Partner with business stakeholders to identify opportunities for automation, intelligence, and operational improvements.
Translate business needs into product requirements, features, and delivery plans.
Prioritise investments based on customer value, operational efficiency, business impact, and technical feasibility.
Define and manage AI business rules, decision criteria, thresholds, and exception handling processes.
Work with data scientists and engineering teams to establish measurable success criteria for AI-driven capabilities.
Drive continuous optimisation of AI outcomes through experimentation, monitoring, and operational feedback.
Manage rule change processes and feature enhancements across AI products.

Product Ownership & Delivery
Own backlog prioritisation, feature definition, and release planning.
Develop epics, user stories, acceptance criteria, and success metrics.
Lead agile ceremonies including backlog grooming, sprint planning, reviews, and release readiness.
Partner with engineering teams to ensure predictable and high-quality delivery.

Technical Leadership
Collaborate with architects and engineers on APIs, integrations, data flows, and platform capabilities.
Evaluate trade-offs involving scalability, latency, resilience, security, and maintainability.
Ensure technical solutions support long-term platform strategy and reuse.
Drive platform thinking rather than one-off feature development.

Stakeholder Management
Serve as the primary product owner for AI initiatives.
Communicate roadmap priorities, risks, dependencies, and outcomes to leadership.
Coordinate across Product, Engineering, Data Science, Operations, Business, and Customer Success teams.
Influence strategic decisions using data and customer insights.

Required Qualifications Experience

8+ years in Product Management, Technical Product Management, or Product Owner roles.
Experience delivering AI, Machine Learning, Analytics, Data, API, or Platform products.
Experience working in Agile and SAFe delivery environments.
Demonstrated success driving cross-functional initiatives from concept to production.

Technical Skills

Strong understanding of:

AI and Machine Learning concepts
Generative AI and Agentic AI use cases
APIs and Microservices
Cloud Platforms
Data Engineering and Analytics
Platform Architecture
Operational Metrics and Monitoring
Agile and SAFe delivery methodologies

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Apply Now

Refine Your Search

ai/ml engineer jobs in sandyford county dublin

Lead Technical Product Manager

Senior Manager of Data Engineering

Hardware Solutions Engineer

Senior Software Engineer

ASIC Digital Design, Principal Engineer

Senior AI Large Language Model (LLM) Architect

Sr Engineering Manager, Info Sec

Senior Data Scientist

Senior Technical Consultant

Partner Solutions Architect

Growth Account Executive, Startups

Lead Program Security Engineer

Architect

Senior NPU SDK Software Engineer

Senior Engineering Manager, Customer Agent

Senior Sales Operations Analyst

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