Mastercard

1 day ago

Specialist Product Manager - AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Drive the strategy, development, and commercialization of AI-powered products for intelligent, agentic solutions. Own end-to-end product features, translating complex data and AI/ML capabilities into execution-ready EPICs, user stories, and acceptance criteria. Partner with engineering, design, and data science to deliver LLM-powered and agentic workflows, run product discovery with research and experimentation, and manage scope, budget, and timelines while communicating across technical and non-technical teams.

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own and deliver one or more product features or problem areas within AI-powered solutions aligned to the product roadmap.
•Translate product requirements into well-defined EPICs, user stories, and acceptance criteria for engineering and data teams.
•Support development of LLM-powered and agentic AI features, including conversational experiences and workflow automation.
•Partner with engineering, design, and data science teams to execute roadmap commitments with timely, high-quality delivery.
•Oversee product discovery and development execution, including user research, experimentation, and compliance with budget, scope, and timelines.

Travel: Low travel

Key Requirements

•Solid experience as a Product Manager in a technology-driven environment, with exposure to AI/ML products preferred.
•Working knowledge of AI concepts such as LLMs, RAG, agentic workflows, and evaluation frameworks.
•Ability to translate product requirements into execution-ready deliverables (EPICs, user stories, acceptance criteria).
•Strong problem-solving skills and willingness to think outside the box.
•Advanced degree in Computer Science, AI, Machine Learning, or a related field is highly desirable.

Experience:AI/MLProduct managementTechnology-driven environment

Education:Master's in Computer Science, AI, Machine Learning, or related field

Skills:Problem-solvingTeamworkCommunicationCollaboration

Tech Stack:AIMLLLMsRAGAgentic workflowsEvaluation frameworks

Company Brief

Mastercard

Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

1 day ago

Specialist Product Manager - AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Dublin

Workplace: Hybrid

Employment Type: Full time

Job Function: Product Management

Key Responsibilities

•Own and deliver one or more product features or problem areas within AI-powered solutions aligned to the product roadmap.
•Translate product requirements into well-defined EPICs, user stories, and acceptance criteria for engineering and data teams.
•Support development of LLM-powered and agentic AI features, including conversational experiences and workflow automation.
•Partner with engineering, design, and data science teams to execute roadmap commitments with timely, high-quality delivery.
•Oversee product discovery and development execution, including user research, experimentation, and compliance with budget, scope, and timelines.

Travel: Low travel

Key Requirements

•Solid experience as a Product Manager in a technology-driven environment, with exposure to AI/ML products preferred.
•Working knowledge of AI concepts such as LLMs, RAG, agentic workflows, and evaluation frameworks.
•Ability to translate product requirements into execution-ready deliverables (EPICs, user stories, acceptance criteria).
•Strong problem-solving skills and willingness to think outside the box.
•Advanced degree in Computer Science, AI, Machine Learning, or a related field is highly desirable.

Experience:AI/MLProduct managementTechnology-driven environment

Education:Master's in Computer Science, AI, Machine Learning, or related field

Skills:Problem-solvingTeamworkCommunicationCollaboration

Tech Stack:AIMLLLMsRAGAgentic workflowsEvaluation frameworks

Company Brief

Mastercard

Industry: Payments

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Purchase, New York, United States

Founded: 1966

Glassdoor: 4.1

Website LinkedIn Glassdoor