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 an experienced Specialist (Product Management - AI) to drive the strategy, development, and commercialization of AI-powered products within our platform. This role will lead end-to-end product ownership for intelligent agentic solutions, translating complex data, AI/ML capabilities, and partner ecosystems into scalable, high-impact customer-experiences.
Responsibilities:
Own and deliver 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
Oversee and steer the product development process, ensuring compliance with budget, scope, and project timelines.
Communicate effectively with technical and non-technical audiences.
Qualifications:
Solid experience in Product Management in a technology-driven environment; exposure to AI/ML products is preferred
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.
Proven track record of managing all aspects of a successful product throughout its lifecycle.
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.
Skills Required
- Experience as a Product Manager in a technology-driven environment
- Exposure to AI/ML products
- Working knowledge of AI concepts such as LLMs, RAG, agentic workflows, and evaluation frameworks
- Ability to translate product requirements into EPICs, user stories, and acceptance criteria
- Proven track record managing product lifecycle end-to-end
- Strong problem-solving skills and ability to think creatively
- Excellent teamwork and ability to work with minimal supervision
- Experience collaborating with engineering, design, and data science teams
- Advanced degree in Computer Science, AI, Machine Learning, or related field
Mastercard Compensation & Benefits Highlights
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Retirement Support — A 10% company retirement match (401k or equivalent) is explicitly highlighted in company materials. This level of employer contribution stands out as a core strength of the package.
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Leave & Time Off Breadth — A global minimum of 16 weeks fully paid new‑parent leave and generous U.S. PTO (vacation, personal days, holidays, sick time, and bereavement) are clearly spelled out. These provisions indicate broad time‑off coverage across life events.
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Wellbeing & Lifestyle Benefits — Hybrid work, a four‑week “work from elsewhere” option, meeting‑free well‑being days, five paid volunteer days, mental‑health resources, and fitness reimbursement/on‑site gyms are emphasized. Together they reflect a holistic approach to flexibility and wellbeing.
Mastercard Insights
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.
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Mastercard Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.






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