Lead the development and strategy of AI and SaaS capabilities in operational intelligence. Manage product roadmaps, define use cases, and collaborate with technical teams on product delivery and adoption.
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 Product Manager - Technical-AgenticAI product
Lead Product Manager, Agentic AI - Operational Intelligence
Business & Markets Insights (BMI) - Mastercard Services
Overview -
Mastercard Services delivers data- and AI-powered solutions that improve operational efficiency across the payments ecosystem. 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.
Role Responsibilities -
Product Strategy & Roadmap:
1. Own strategy and roadmap for agentic AI features across Operational Intelligence.
2. Drive 0→1 product development for new AI and SaaS capabilities.
3. Define use cases for LLM agents, autonomous workflows, and A2A orchestration.
Technical Product Leadership
1. Translate customer problems into clear technical requirements for LLMs, RAG pipelines, agent orchestration, and tool-use.
2. Partner with AI/ML and engineering teams on architecture, grounding, retrieval, safety, and evaluation.
3. Prototype using modern agent frameworks (e.g., LangGraph, AutoGen, Strands, OpenAI Agent SDK) to validate capabilities.
Execution & Delivery
1. Write concise PRDs, technical specs, and acceptance criteria.
2. Lead backlog, prioritization, and sprint execution with engineering teams.
3. Work with MLOps on model evaluation, drift monitoring, hallucination mitigation, and observability.
User Research & Validation
1. Conduct discovery with issuers, acquirers, processors, and banks.
2. Lead A/B tests, user studies, and trust/accuracy evaluations for AI agents.
3. Convert insights into product decisions and KPI-based roadmaps.
Commercialization & Adoption
1. Support go-to-market planning, pricing inputs, and customer enablement.
2. Drive internal and external adoption through demos, onboarding, documentation, and training.
3. Act as a product evangelist for AI and operational intelligence.
All About You -
Core Product Experience:
1. 6+ years in product management; experience building 0→1 SaaS or AI/ML products.
2. Proven experience shipping products using Generative AI, Agentic AI, ML models, or Conversational AI at scale.
3. Demonstrable experience with:
LLMs (GPT, Claude, Mistral), MCP, A2A orchestration, LangChain, LangGraph, AutoGen, Strands, OpenAI Agent SDK.
Technical Skills
1. Strong understanding of LLM agents, tool-use patterns, reasoning graphs, memory systems.
2. Hands-on familiarity with embeddings, RAG pipelines, vector search, evaluation frameworks.
3. Ability to translate advanced AI concepts into simple, testable product features.
Product Management Skills
1. Strong skills in product discovery, problem framing, requirement writing, roadmap planning.
2. Excellent execution discipline: backlog management, release planning, stakeholder alignment.
3. Strong analytical mindset-comfortable with experimentation, A/B testing, and telemetry-driven decisions.
Exceptional communication and cross-functional leadership.
Industry Experience
1. Background in payments, fintech, or operational workflows preferred.
2. Experience with enterprise-grade, data-intensive, or compliance-sensitive systems is a plus.
Education
1. Master's degree is required. Computer Science bachelor's degree with MBA is an ideal fit.
2. Advanced degree or AI/ML certification a plus.
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:
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 Product Manager - Technical-AgenticAI product
Lead Product Manager, Agentic AI - Operational Intelligence
Business & Markets Insights (BMI) - Mastercard Services
Overview -
Mastercard Services delivers data- and AI-powered solutions that improve operational efficiency across the payments ecosystem. 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.
Role Responsibilities -
Product Strategy & Roadmap:
1. Own strategy and roadmap for agentic AI features across Operational Intelligence.
2. Drive 0→1 product development for new AI and SaaS capabilities.
3. Define use cases for LLM agents, autonomous workflows, and A2A orchestration.
Technical Product Leadership
1. Translate customer problems into clear technical requirements for LLMs, RAG pipelines, agent orchestration, and tool-use.
2. Partner with AI/ML and engineering teams on architecture, grounding, retrieval, safety, and evaluation.
3. Prototype using modern agent frameworks (e.g., LangGraph, AutoGen, Strands, OpenAI Agent SDK) to validate capabilities.
Execution & Delivery
1. Write concise PRDs, technical specs, and acceptance criteria.
2. Lead backlog, prioritization, and sprint execution with engineering teams.
3. Work with MLOps on model evaluation, drift monitoring, hallucination mitigation, and observability.
User Research & Validation
1. Conduct discovery with issuers, acquirers, processors, and banks.
2. Lead A/B tests, user studies, and trust/accuracy evaluations for AI agents.
3. Convert insights into product decisions and KPI-based roadmaps.
Commercialization & Adoption
1. Support go-to-market planning, pricing inputs, and customer enablement.
2. Drive internal and external adoption through demos, onboarding, documentation, and training.
3. Act as a product evangelist for AI and operational intelligence.
All About You -
Core Product Experience:
1. 6+ years in product management; experience building 0→1 SaaS or AI/ML products.
2. Proven experience shipping products using Generative AI, Agentic AI, ML models, or Conversational AI at scale.
3. Demonstrable experience with:
LLMs (GPT, Claude, Mistral), MCP, A2A orchestration, LangChain, LangGraph, AutoGen, Strands, OpenAI Agent SDK.
Technical Skills
1. Strong understanding of LLM agents, tool-use patterns, reasoning graphs, memory systems.
2. Hands-on familiarity with embeddings, RAG pipelines, vector search, evaluation frameworks.
3. Ability to translate advanced AI concepts into simple, testable product features.
Product Management Skills
1. Strong skills in product discovery, problem framing, requirement writing, roadmap planning.
2. Excellent execution discipline: backlog management, release planning, stakeholder alignment.
3. Strong analytical mindset-comfortable with experimentation, A/B testing, and telemetry-driven decisions.
Exceptional communication and cross-functional leadership.
Industry Experience
1. Background in payments, fintech, or operational workflows preferred.
2. Experience with enterprise-grade, data-intensive, or compliance-sensitive systems is a plus.
Education
1. Master's degree is required. Computer Science bachelor's degree with MBA is an ideal fit.
2. Advanced degree or AI/ML certification a plus.
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.
Top Skills
A2A Orchestration
Autogen
Claude
Gpt
Langchain
Langgraph
Llms
Mcp
Mistral
Openai Agent Sdk
Rag Pipelines
Strands
Vector Search
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