Lead Product Manager - Technical-AgenticAI product

Job Title: Lead Product Manager - Technical-AgenticAI product Candidates from premium institutes are preferred. Location-Pune, Gurugram Overview: 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.

• Drive 0→1 product development for new AI and SaaS capabilities.
• 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.
• 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. Execution & Delivery 1. 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 1. 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. Commercialization & Adoption 1. Support go-to-market planning, pricing inputs, and customer enablement.
• Drive internal and external adoption through demos, onboarding, documentation, and training.
• 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.
• 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.
• Hands-on familiarity with embeddings, RAG pipelines, vector search, evaluation frameworks.
• 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.
• 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.
• Advanced degree or AI/ML certification a plus.