
Global payments and technology company
Lead Product Manager-Technical – Agentic AI at Mastercard
About the role
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
Lead Product Manager-Technical – Agentic AI
Overview:
Mastercard is a global technology company in the payments industry. Our mission is 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.
The Services Business represents over a third of Mastercard revenues and is a key differentiator for Mastercard. Services use our unique and proprietary data, technology, insights and expertise to deliver solutions that meet the needs of our customers. Services is critical for the sustained, long-term growth of Mastercard.
Within the Services organisation, this role sits within the Business & Markets Insights (BMI) organisation. The Business & Market Insights vertical is focused on creating products and solutions that create value for customers through Analytics, Insights, Business Experimentation, and Payment Consulting & Innovation.
Under BMI, Payment Performance Intelligence Program's Global Product Management team is seeking an accomplished technology-focused Product Manager to support the evolution of its products to include AI intelligence. This person will be part of a team of product managers that oversee key activities including execution of the AI product strategy, management of the roadmap, shaping the product platform architecture and the creation of technical requirements.
This individual will partner closely with other members of the Global Product Management team including data scientists to support development of Gen AI chatbot use cases & agentic services and ensuring product priorities are well-aligned with strategic objectives. This individual will also be the key collaborator with the Platform team to shape the long term vision for the product and ensure efficient development execution.
Key Responsibilities:
Own strategy and roadmap for AI and agentic capabilities across Payment Performance Intelligence.
Translate a deep understanding of our customers into products and solutions that drive significant customer value
Balance the long-term direction of a product with today’s needs and constraints by fully understanding the technical, competitive, and commercial contexts of our products.
Partner closely with engineering, data science/AI, other platform/COE teams to ensure architecture quality, safety, evaluation, and observability.
Own PRDs, backlog prioritizations, story writing, dependencies, and release planning.
Partner with Customer Experience team to design intuitive, highly relevant features that are of maximum value to clients.
Ensure consistent alignment between business priorities and development objectives
Lead user research, discovery, and experimentation to validate use cases, accuracy, trust, and business impact.
Support go-to-market, and customer enablement through demos, query resolution, documentation, and training.
Build strong cross-functional and stakeholder alignment across global teams.
Mentor and develop junior product managers.
Qualifications / Desired Experiences:
Product management and end to end delivery of products.
Strong ability to translate complex technical concepts into clear, actionable product requirements.
Proven track record collaborating in cross-functional teams to deliver outstanding products and features.
Designing, executing, and distilling user research to drive value for the customer.
Excellent execution, communication, and stakeholder management skills.
Bachelor's degree in computer science, Engineering, or equivalent experience.
Good to have : AI know how, specifically experience of working on Gen AI chatbot use cases support & delivery
Payments industry experience is a plus
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:
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Abide by Mastercard’s security policies and practices;
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Ensure the confidentiality and integrity of the information being accessed;
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Report any suspected information security violation or breach, and
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Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Required skills
Product management
AI/ML
Roadmapping
Stakeholder management
Strategy
Analytics
Agile
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About Mastercard

Mastercard
PublicA financial network that processes payments between banks and cardholders
10,001+
Employees
Purchase
Headquarters
$360B
Valuation
Reviews
10 reviews
3.8
10 reviews
Work-life balance
2.8
Compensation
4.1
Culture
4.2
Career
3.4
Management
3.1
72%
Recommend to a friend
Pros
Great team culture and supportive colleagues
Excellent benefits and compensation
Training and development opportunities
Cons
Work-life balance challenges and long hours
High pressure and stress during peak times
Management issues and lack of direction
Salary Ranges
51 data points
L6
L7
L8
Director
L4
L5
L6 ·
0 reports
$201,675
total per year
Base
-
Stock
-
Bonus
-
$171,424
$231,926
Interview experience
3 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer rate
33%
Experience
Positive 33%
Neutral 34%
Negative 33%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Super Day/Final Round
6
Offer
Common questions
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
System Design
Past Experience
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