The Lead Product Manager will define strategy, manage technical development, and scale agentic AI products, translating customer problems into solutions.
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 Agentic AI Product Manager
The Services team and solutions fuel growth for partners globally by providing cutting edge services in the areas of Customer Acquisition and Engagement, Security Solutions, Business and Market Insights, and Open Banking. Focused on thinking big and scaling fast, our agile sales team is responsible for end-to-end solutions for a diverse global customer base including retailers, airlines, hotels, tourism agencies, public sector entities, restaurants, consumer goods and telecom companies.
The Business & Markets Insights (BMI) team builds global intelligence products, and the Operational Intelligence Program is expanding these with agentic AI, LLM-driven workflows, and autonomous operational agents. We are seeking a Lead Product Manager to define strategy, lead technical development, and bring these capabilities to scale.
The Role: • Technical Product Leadership • Translate customer problems into clear technical requirements for LLMs, RAG pipelines, agent orchestration, and tool-use. • Partner with AI/ML and engineering teams on architecture, grounding, retrieval, safety, and evaluation. • Prototype using modern agent frameworks (e.g., LangGraph, AutoGen, Strands, OpenAI Agent SDK) to validate capabilities. • Product Strategy & Roadmap:• Own strategy and roadmap for agentic AI features across Operational Intelligence. • Drive 0→1 product development for new AI and SaaS capabilities. • Define use cases for LLM agents, autonomous workflows, and A2A orchestration. • Support go-to-market planning, pricing inputs, and customer enablement. • Drive internal and external adoption through demos, onboarding, documentation, and training. • Execution & Delivery • Write concise PRDs, technical specs, and acceptance criteria. • Lead backlog, prioritization, and sprint execution with engineering teams. • Work with MLOps on model evaluation, drift monitoring, hallucination mitigation, and observability. • User Research & Validation • Conduct discovery with issuers, acquirers, processors, and banks. Lead A/B tests, user studies, and trust/accuracy evaluations for AI agents.• Convert insights into product decisions and KPI-based roadmaps.
All About You • Product Management experience building 0→1 SaaS or AI/ML products. • Proven experience shipping products using Generative AI, Agentic AI, ML models, or Conversational AI at scale. • Demonstrable experience with LLMs (GPT, Claude, Mistral), MCP, A2A orchestration, LangChain, LangGraph, AutoGen, Strands, OpenAI Agent SDK. • Understanding of LLM agents, tool-use patterns, reasoning graphs, memory systems. • Hands-on familiarity with embeddings, RAG pipelines, vector search, evaluation frameworks. • Ability to translate advanced AI concepts into simple, testable product features. • Experience in product discovery, problem framing, requirement writing, roadmap planning. • Excellent execution discipline: backlog management, release planning, stakeholder alignment. • Strong analytical mindset-comfortable with experimentation, A/B testing, and telemetry-driven decisions. • Exceptional communication and cross-functional leadership.
Background in payments, fintech, or operational workflows preferred. • Experience with enterprise-grade, data-intensive, or compliance-sensitive systems is a plus.
Master's degree or equivalent professional work experience - Computer Science bachelor's degree with MBA is a plus - Advanced degree or AI/ML ce
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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:
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Purchase, New York: $150,000 - $254,000 USD
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 Agentic AI Product Manager
The Services team and solutions fuel growth for partners globally by providing cutting edge services in the areas of Customer Acquisition and Engagement, Security Solutions, Business and Market Insights, and Open Banking. Focused on thinking big and scaling fast, our agile sales team is responsible for end-to-end solutions for a diverse global customer base including retailers, airlines, hotels, tourism agencies, public sector entities, restaurants, consumer goods and telecom companies.
The Business & Markets Insights (BMI) team builds global intelligence products, and the Operational Intelligence Program is expanding these with agentic AI, LLM-driven workflows, and autonomous operational agents. We are seeking a Lead Product Manager to define strategy, lead technical development, and bring these capabilities to scale.
The Role: • Technical Product Leadership • Translate customer problems into clear technical requirements for LLMs, RAG pipelines, agent orchestration, and tool-use. • Partner with AI/ML and engineering teams on architecture, grounding, retrieval, safety, and evaluation. • Prototype using modern agent frameworks (e.g., LangGraph, AutoGen, Strands, OpenAI Agent SDK) to validate capabilities. • Product Strategy & Roadmap:• Own strategy and roadmap for agentic AI features across Operational Intelligence. • Drive 0→1 product development for new AI and SaaS capabilities. • Define use cases for LLM agents, autonomous workflows, and A2A orchestration. • Support go-to-market planning, pricing inputs, and customer enablement. • Drive internal and external adoption through demos, onboarding, documentation, and training. • Execution & Delivery • Write concise PRDs, technical specs, and acceptance criteria. • Lead backlog, prioritization, and sprint execution with engineering teams. • Work with MLOps on model evaluation, drift monitoring, hallucination mitigation, and observability. • User Research & Validation • Conduct discovery with issuers, acquirers, processors, and banks. Lead A/B tests, user studies, and trust/accuracy evaluations for AI agents.• Convert insights into product decisions and KPI-based roadmaps.
All About You • Product Management experience building 0→1 SaaS or AI/ML products. • Proven experience shipping products using Generative AI, Agentic AI, ML models, or Conversational AI at scale. • Demonstrable experience with LLMs (GPT, Claude, Mistral), MCP, A2A orchestration, LangChain, LangGraph, AutoGen, Strands, OpenAI Agent SDK. • Understanding of LLM agents, tool-use patterns, reasoning graphs, memory systems. • Hands-on familiarity with embeddings, RAG pipelines, vector search, evaluation frameworks. • Ability to translate advanced AI concepts into simple, testable product features. • Experience in product discovery, problem framing, requirement writing, roadmap planning. • Excellent execution discipline: backlog management, release planning, stakeholder alignment. • Strong analytical mindset-comfortable with experimentation, A/B testing, and telemetry-driven decisions. • Exceptional communication and cross-functional leadership.
Background in payments, fintech, or operational workflows preferred. • Experience with enterprise-grade, data-intensive, or compliance-sensitive systems is a plus.
Master's degree or equivalent professional work experience - Computer Science bachelor's degree with MBA is a plus - Advanced degree or AI/ML ce
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
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.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
Purchase, New York: $150,000 - $254,000 USD
Top Skills
Agentic Ai
AI
Autogen
Generative Ai
Langgraph
Llms
Ml
Openai Agent Sdk
Rag Pipelines
SaaS
Strands
Mastercard New York, New York, USA Office

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