Lead Agentic AI Product Manager
Posted Apr 23, 2026
Key Responsibilities:
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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. - Own strategy and roadmap for agentic AI features across Operational Intelligence. - Drive 01 product development for new AI and SaaS capabilities. - Define use cases for LLM agents, autonomous workflows, and A2A orchestration. - Write concise PRDs, technical specs, and acceptance criteria. - Lead backlog, prioritization, and sprint execution with engineering teams. - 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. Qualifications Required:
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Product Management experience building 01 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 mindsetcomfortable 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. - Masters degree or equivalent professional work experience - Computer Science bachelors degree with MBA is a plus - Advanced degree or AI/ML certification. (Note: Any additional details of the company were not present in the provided job description.) Role Overview: As the Lead Agentic AI Product Manager at Mastercard, you will be part of the Services team that fuels growth for partners globally by providing cutting-edge services in Customer Acquisition and Engagement, Security Solutions, Business and Market Insights, and Open Banking. Your role will involve translating customer problems into technical requirements, owning the strategy and roadmap for agentic AI features, driving product development for new AI and SaaS capabilities, and conducting user research and validation to convert insights into product decisions. Key Responsibilities: