Lead Agentic AI Product Manager

Lead Agentic AI Product Manager

Lead Product Manager to define strategy, lead technical development, and bring capabilities to scale within the Business & Markets Insights (BMI) team.

• 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., 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 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.

• 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, 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 with MBA is a plus.

In line with Mastercard’s total compensation philosophy, 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.

Salary Ranges (Purchase, New York): $150,000 – $254,000 USD; (New York City, NY): $156,000 – $265,000 USD.

Benefits include insurance (medical, prescription drug, dental, vision, disability, life), flexible spending account and health savings account, paid leaves (new parent leave, bereavement leave), paid sick and safe time, vacation and personal days, U.S. observed holidays, 401(k) with company match, deferred compensation for eligible roles, fitness reimbursement or on‑site facilities, tuition reimbursement, and more.

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.