Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Title and Summary

Product Manager - Machine Learning

Our Purpose

We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.

Role Overview

We’re looking for a Product Manager – Machine Learning to join our New Product Development team. The ideal candidate will have domain expertise in building and scaling APIs, partnerships, and developer ecosystems. In this role, you will work with talented cross-functional teams to define, develop, and scale AI products for customers in our traditional and emerging segments.

Key Responsibilities

• Collaborate with product and engineering leadership to shape the product strategy, roadmap, and architecture of our machine learning solutions.
• Define product requirements and work closely with engineering and design teams to develop and implement scalable machine learning solutions for various applications.
• Partner with customers, partners, and third-party applications to prioritize features and enhancements that align with our business goals.
• Set and track key product and business success metrics to evaluate the performance and impact of our offerings..
• Develop and maintain user-friendly documentation, including descriptions of models and use-case scenarios, and ensure internal teams are knowledgeable about the capabilities and benefits of our machine learning solutions.
• Conduct market research to identify opportunities for expanding adoption, enhancing utilization, and forming strategic partnerships in the machine learning space.
• Communicate the vision and progress of our products and ecosystem to both internal and external stakeholders.
Qualifications
• Bachelor’s degree in a data, engineering or a related technical field; an advanced degree is a plus.
• At least 3 years of product management experience with a focus on machine learning or related technologies, and a strong understanding of product development.
• Ability to translate business needs and complex challenges into clear and actionable product requirements.
• Demonstrated experience in managing machine learning products and collaborating with cross-functional teams to drive product development.
• Familiarity with machine learning concepts and technologies, with an emphasis on product and user experience rather than deep technical expertise.
• Data-driven mindset with a focus on optimizing product performance throughout the customer lifecycle.
• Excellent verbal and written communication skills, with the ability to effectively engage with both technical and non-technical stakeholders.

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.