Technical Product Leadership ? Translate customer problems into clear technical requirements for LL - Ms, 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., Lang. Graph, Auto. Gen, 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 A 2 A 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 ML - Ops 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 LL - Ms (GPT, Claude, Mistral), MCP, A 2 A orchestration, Lang. Chain, Lang. Graph, Auto. Gen, 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 reasonableaccommodation@mastercard.com 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.