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Mastercard

Specialist, Product Management - AI

Reposted 4 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Dublin
Mid level
Remote or Hybrid
Hiring Remotely in Dublin
Mid level
Lead end-to-end product ownership for AI-powered features, defining EPICs and user stories, partnering with engineering, design, and data science to build LLM-powered conversational and agentic workflows, conduct discovery and experimentation, and ensure timely delivery, compliance with budget and timelines, and clear stakeholder communication.
The summary above was generated by AI
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
Specialist, Product Management - AI
Overview: In virtually every country worldwide, Micro, Small, and Medium Businesses (SMEs) are the lifeblood of economic vitality. Mastercard is dedicated to enabling businesses to survive and thrive stronger than before. Our rallying cry is Empowering Every Business Everywhere. This segment is central to Mastercard's growth strategy - not only because of their global impact but also because of SMEs' significant role in the payment ecosystem as both payers and acceptors of electronic payments.
We are seeking a Specialist (Product Management - AI) to support the strategy, development, and commercialization of AI-powered products within our platform. This role will support the product lifecycle for intelligent agentic solutions, translating complex data, AI/ML capabilities, and partner ecosystems into scalable, high-impact customer-experiences. You will be working closely with senior product leaders, engineering teams, and cross-functional stakeholders.
Responsibilities:
Support the delivery of one or more product features or problem areas within AI-powered solutions, aligned to the broader product roadmap
Translate product requirements into well-defined EPICs, user stories, and acceptance criteria for engineering and data teams
Support the development of LLM-powered and agentic AI features, including conversational experiences and workflow automation
Partner with engineering, design, and data science teams to execute on roadmap commitments, ensuring timely and high-quality delivery
Collaborate on product discovery activities, including user research, hypothesis validation, and experimentation
Support the product development process, helping to manage scope, priorities, and project timelines.
Communicate effectively with technical and non-technical audiences.
Qualifications:
Experience working in Product Management, product development, business analysis, consulting, or a related technology-focused role
Working knowledge of AI concepts such as LLMs, RAG, agentic workflows, and evaluation frameworks
Demonstrated ability to translate product requirements into execution-ready deliverables
Strong problem-solving skills and willingness to think outside the box.
Excellent teamwork skills with an ability to get the work done with minimal supervision.
Advanced degree in Computer Science, AI, Machine Learning, or related field is highly desirable.
Experience contributing to the development and delivery of digital products or technology solutions
Globally distributed teams in India, EU and US. Some travel may be required.
Additional Information:
This role is hybrid, with the expectation of working in the Dublin office at least 3 days per week.
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 London, England Office

1 Angel Lane, London, United Kingdom, EC4R 3AB

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