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Mastercard

Processes payments across a global network

Manager, Product Management - AI Foundations & Agent Capabilities & Data | Business & Marketing Insights

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 6 years of Product Management experience in AI, analytics, data, platform, or technology products.
  • Strong understanding of generative AI concepts, including large language models, AI agents, agent orchestration, retrieval-augmented generation, evaluation and testing, and AI governance and controls.
  • Experience partnering with Engineering and Data Science teams to deliver production-grade solutions.
  • Strong analytical thinking and structured problem-solving skills.
  • Outstanding stakeholder management and communication skills.
  • Ability to influence across teams without direct authority.
  • Experience working in Agile product environments.
  • Comfort with coding and working with large data assets.

Responsibilities

  • Build and scale platform capabilities that make AI development faster and more effective across multiple product teams.
  • Create reusable agent frameworks, services, and development capabilities at the intersection of AI, platform engineering, and product strategy.
  • Identify common AI needs across partner teams and translate them into scalable platform requirements and product investments.
  • Support the C&D AI portfolio strategy by understanding current and future business, product, technology, and stakeholder needs.
  • Define, socialize, and drive adoption of standards, templates, governance models, and best practices for building AI-powered solutions and agents.
  • Use user feedback, product telemetry, and Voice of Customer programs to identify opportunities and prioritize enhancements.
  • Define and monitor success metrics focused on adoption, business impact, product effectiveness, and outcomes across the AI portfolio.
  • Establish and drive product management disciplines across the product lifecycle, including roadmap management, prioritization, experimentation, Agile delivery, and product readiness.
  • Champion a user-centric and data-driven culture through Design Thinking, test-and-learn principles, and continuous product improvement.
  • Partner with Engineering, Data Science, UX, Compliance, Security, and Legal teams to deliver scalable, compliant, and high-quality AI solutions.
  • Make tradeoff decisions balancing customer value, technical feasibility, risk, scalability, and time-to-market considerations.
  • Build relationships across regions, functions, and stakeholder groups to drive alignment, influence decisions, and accelerate adoption.
  • Foster operational excellence through documentation, knowledge management, repeatable processes, and scalable ways of working.
  • Help expand adoption of AI Foundations capabilities across multiple BMI products.
  • Define and scale reusable frameworks that reduce duplication of AI development effort.
  • Enable product teams to launch AI-powered experiences faster through shared platform services.
  • Contribute to a consistent approach for agent development, governance, and deployment across BMI.
  • Establish measurable platform adoption and business impact metrics.

Desired Qualifications

  • Experience building internal platforms, developer products, APIs, or reusable services.
  • Experience with AI development ecosystems and agent frameworks.
  • Familiarity with experimentation, model evaluation, and responsible AI practices.
  • Experience working across global organizations and multiple stakeholder groups.
  • Knowledge of payments, analytics, consulting, or data products.

About the Company

Mastercard

Processes payments across a global network

Mastercard operates a global payment network connecting financial institutions, merchants, businesses and consumers. It authorizes, clears and settles transactions between participating institutions, while banks issue Mastercard-branded cards and extend credit to their customers. Its services also include fraud detection, identity verification, payment tokenization, data analysis and consulting for organizations managing commerce and financial operations. The company earns network fees linked to payment volumes and processed transactions, along with fees for its services and solutions. Founded by a group of banks in 1966, Mastercard is headquartered in Purchase, within Harrison, New York.

Company size
10,001+
Company stage
IPO
Headquarters
Town of Harrison, New York
Founded
1966

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