Lead Technical Product Manager

Mastercard is hiring a Lead Technical Product Manager in Dublin, Ireland. Level rates it ; you can apply on Mastercard.

Level's read on this job

On Level's scale, this AI product manager role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Level classifies it as a lead role.
Level lists 1,100+ other open roles at Mastercard.
The role was posted in the last few days.

AI in this role

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.

How we rate this

Lead Technical Product Manager at Mastercard rates 69 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Lead Technical Product Manager is an open job at Mastercard.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Dublin, Ireland.
The job was posted on October 28, 2026.
Seniority: lead.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

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Pay

Typical AI product manager job: $180k

This posting doesn't list pay. Use the typical AI product manager figure when pay comes up. See AI product manager jobs

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