Senior Specialist, Product Management – AI & API

Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title And Summary
Senior Specialist, Product Management – AI & API
Job Title:
Senior Specialist, Product Management – AI & API
Overview:
The Services team and solutions fuel growth for partners globally by providing cutting-edge capabilities in the areas of Customer Acquisition and Engagement, Security Solutions, Business and Market Insights, and Open Banking. Mastercard Services' Operational Intelligence (OI) team is expanding its AI platform with Agentic AI, API-driven intelligence, and LLM-powered autonomous systems, with a focus on transforming financial reconciliation and operational workflows across the payments ecosystem.
We are seeking a Specialist, Product Management – AI & Financial Reconciliation to support the design, development, and delivery of AI-powered and API-enabled reconciliation products. This is a generalist product role that spans agentic AI features, API product support, and analytical enablement. You will work closely with senior product managers, engineering teams, and business stakeholders to translate reconciliation domain requirements into clear product artifacts, assist in API capability analysis, and help drive execution across the product lifecycle.
This role is well-suited to someone with a solid foundation in product management and a growing interest in AI/ML and fintech, who wants to work at the intersection of financial operations and intelligent automation.
Responsibilities:
Product Execution & Requirements
Support the authoring of Business Requirement Documents (BRDs), user stories, EPICs, and acceptance criteria for AI-powered and API-driven reconciliation features
Assist in translating reconciliation business rules, exception-handling logic, and operational workflows into structured, execution-ready product requirements
Maintain and groom the product backlog; coordinate sprint activities with engineering, QA, and data teams
Track and report on delivery progress, flagging risks and dependencies to the product lead
Contribute to product discovery activities including user interviews, workflow mapping, and requirement validation with internal stakeholders
API & Analytical Product Support
Support analysis and documentation of API capabilities for reconciliation and operational intelligence products, including endpoint behavior, data contracts, integration patterns, and versioning requirements
Assist in defining API use cases for internal and external consumers — issuers, acquirers, processors, and operations teams
Collaborate with engineering on API specifications, sandbox testing, and integration documentation
Analyze product usage data, API telemetry, and operational metrics to surface insights and inform prioritization decisions
Support A/B testing, experimentation design, and KPI tracking for product features across both agentic and API-driven experiences
AI Feature Support
Develop working familiarity with AI/ML concepts relevant to reconciliation including LLMs, agentic workflows, RAG pipelines, and anomaly detection
Support evaluation and testing of AI-generated reconciliation outputs, contributing to acceptance criteria around accuracy, auditability, and exception
handling
Assist in documenting human-in-the-loop (HITL) controls, fallback logic, and compliance checkpoints for agentic features
Help maintain product documentation, release notes, and internal enablement materials for AI-powered capabilities
Stakeholder & Cross-Functional Collaboration
Work with operations, finance, and compliance teams to gather requirements and validate product decisions
Communicate clearly with both technical and non-technical audiences through written artifacts and meeting facilitation
Support go-to-market activities including client onboarding documentation, feature summaries, and training content
Assist senior product managers in preparing materials for leadership reviews, roadmap planning, and business case development
Qualifications:
Minimum 3 years of experience in Product Management, Business Analysis, or a related role within a technology-driven environment
Demonstrated ability to write clear product requirement documents, user stories, and functional specifications
Foundational understanding of API concepts including REST APIs, data contracts, request/response structures, and integration patterns
Exposure to financial operations, reconciliation, payments, or fintech is preferred but not required; strong willingness to develop domain knowledge quickly
Familiarity with AI/ML concepts at a conceptual level — LLMs, automation, anomaly detection — and interest in deepening that knowledge
Strong analytical and problem-solving skills; comfortable working with data to inform product decisions
Ability to manage multiple tasks and priorities in a fast-moving, cross-functional environment with minimal supervision
Strong written and verbal communication skills; capable of producing clear documentation and presenting to diverse audiences
Bachelor's degree in Computer Science, Finance, Engineering, Business, or a related field required
MBA or coursework in AI/ML, data science, or financial systems is a plus
Preferred Technical Exposure:
Experience using tools such as Postman, Swagger/OpenAPI, or similar for API documentation and testing
Exposure to SQL or data querying for product analytics
Familiarity with agile tools such as Jira, Confluence, or equivalent
Basic awareness of agentic frameworks (LangChain, LangGraph) or ML platforms is a plus, not a requirement
Understanding of cloud platforms (AWS, Azure) or event-driven architectures is beneficial
Corporate Security Responsibility
All Activities Involving Access To Mastercard Assets, Information, And Networks Comes With An Inherent Risk To The Organization And, Therefore, It Is Expected That Every Person Working For, Or On Behalf Of, Mastercard Is Responsible For Information Security And Must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Work arrangement
No