Mastercard

Mastercard

Posted via Workday

Lead Technical Product Manager

Apply by Nov 6, 2026

Posted Oct 29, 2026

Role at a glance

Job function
Product, Strategy & Operations Product Management & Product Ownership
Salary
Not Disclosed
Location
Dublin, Ireland
Employment
Full-time
Experience
8+ years in Product Management, Technical Product Management, or Product Owner roles.

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Role Summary

AI-generated

The Lead Technical Product Manager will drive the definition, execution, and operationalisation of AI-powered products and services, managing AI rules, operational processes, platform capabilities, and product delivery. The role partners with engineering, data science, business, risk, and operations teams and owns the roadmap, backlog, feature prioritisation, delivery, and operational performance.

What You'll Do

  • Define product vision and roadmap for AI-powered capabilities and operational services.
  • Define and manage AI business rules, decision criteria, thresholds, and exception handling processes.
  • Own backlog prioritisation, feature definition, and release planning.
  • Develop epics, user stories, acceptance criteria, and success metrics.
  • Collaborate with architects and engineers on APIs, integrations, data flows, and platform capabilities.
  • Communicate roadmap priorities, risks, dependencies, and outcomes to leadership.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

Requires 8+ years of product management experience with AI, ML, analytics, data, API, or platform products in Agile and SAFe environments.

Required

  • 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
  • Strong understanding of AI and Machine Learning concepts
  • Strong understanding of Generative AI and Agentic AI use cases
  • Strong understanding of APIs and Microservices
  • Strong understanding of Cloud Platforms

Original job description

Content provided by the employer

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.




Mastercard

About the company

Mastercard

Large Enterprise

Mastercard is a global technology company in the payments industry, committed to empowering individuals and businesses through secure and efficient payment solutions. With a presence in over 210 countries, Mastercard connects consumers, financial institutions, merchants, and governments, enabling seamless transactions across various platforms. The company is at the forefront of innovation, focusing on enhancing financial inclusion and expanding access to digital payment technologies. Through its advanced network and partnerships, Mastercard continues to revolutionize the way people engage in commerce worldwide.