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We are a global technology company in the payments industry.
The Role
Lead the definition, delivery, and operation of AI-powered products and platform services. Define roadmaps, manage AI business rules, prioritize backlog, partner with engineering and data science, ensure scalable APIs and platform architecture, and drive monitoring, experimentation, and cross-functional delivery to production.
Summary Generated by Built In
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 Technical Product Manager
Overview
We are seeking a Lead Technical Product Manager to drive the definition, execution, and operationalisation of AI-powered products and services. This role will be responsible for managing AI rules, operational processes, platform capabilities, and product delivery while partnering with engineering, data science, business, risk, and operations teams.
The ideal candidate combines strong product management expertise with technical depth in AI/ML systems, platform products, APIs, data services, and operational workflows. The individual will ensure AI solutions are scalable, reliable, measurable, and aligned with business objectives. This aligns with the responsibilities of Lead Product Manager-Technical roles found internally, including ownership of roadmap, backlog, feature prioritisation, delivery, and operational performance.
Key Responsibilities
Product Strategy & Roadmap
Define product vision and roadmap for AI-powered capabilities and operational services.
Partner with business stakeholders to identify opportunities for automation, intelligence, and operational improvements.
Translate business needs into product requirements, features, and delivery plans.
Prioritise investments based on customer value, operational efficiency, business impact, and technical feasibility.
Define and manage AI business rules, decision criteria, thresholds, and exception handling processes.
Work with data scientists and engineering teams to establish measurable success criteria for AI-driven capabilities.
Drive continuous optimisation of AI outcomes through experimentation, monitoring, and operational feedback.
Manage rule change processes and feature enhancements across AI products.
Product Ownership & Delivery
Own backlog prioritisation, feature definition, and release planning.
Develop epics, user stories, acceptance criteria, and success metrics.
Lead agile ceremonies including backlog grooming, sprint planning, reviews, and release readiness.
Partner with engineering teams to ensure predictable and high-quality delivery.
Technical Leadership
Collaborate with architects and engineers on APIs, integrations, data flows, and platform capabilities.
Evaluate trade-offs involving scalability, latency, resilience, security, and maintainability.
Ensure technical solutions support long-term platform strategy and reuse.
Drive platform thinking rather than one-off feature development.
Stakeholder Management
Serve as the primary product owner for AI initiatives.
Communicate roadmap priorities, risks, dependencies, and outcomes to leadership.
Coordinate across Product, Engineering, Data Science, Operations, Business, and Customer Success teams.
Influence strategic decisions using data and customer insights.
Required Qualifications Experience
8+ years in Product Management, Technical Product Management, or Product Owner roles.
Experience delivering AI, Machine Learning, Analytics, Data, API, or Platform products.
Experience working in Agile and SAFe delivery environments.
Demonstrated success driving cross-functional initiatives from concept to production.
Technical Skills
Strong understanding of:
AI and Machine Learning concepts
Generative AI and Agentic AI use cases
APIs and Microservices
Cloud Platforms
Data Engineering and Analytics
Platform Architecture
Operational Metrics and Monitoring
Agile and SAFe delivery methodologies
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:
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 Technical Product Manager
Overview
We are seeking a Lead Technical Product Manager to drive the definition, execution, and operationalisation of AI-powered products and services. This role will be responsible for managing AI rules, operational processes, platform capabilities, and product delivery while partnering with engineering, data science, business, risk, and operations teams.
The ideal candidate combines strong product management expertise with technical depth in AI/ML systems, platform products, APIs, data services, and operational workflows. The individual will ensure AI solutions are scalable, reliable, measurable, and aligned with business objectives. This aligns with the responsibilities of Lead Product Manager-Technical roles found internally, including ownership of roadmap, backlog, feature prioritisation, delivery, and operational performance.
Key Responsibilities
Product Strategy & Roadmap
Define product vision and roadmap for AI-powered capabilities and operational services.
Partner with business stakeholders to identify opportunities for automation, intelligence, and operational improvements.
Translate business needs into product requirements, features, and delivery plans.
Prioritise investments based on customer value, operational efficiency, business impact, and technical feasibility.
Define and manage AI business rules, decision criteria, thresholds, and exception handling processes.
Work with data scientists and engineering teams to establish measurable success criteria for AI-driven capabilities.
Drive continuous optimisation of AI outcomes through experimentation, monitoring, and operational feedback.
Manage rule change processes and feature enhancements across AI products.
Product Ownership & Delivery
Own backlog prioritisation, feature definition, and release planning.
Develop epics, user stories, acceptance criteria, and success metrics.
Lead agile ceremonies including backlog grooming, sprint planning, reviews, and release readiness.
Partner with engineering teams to ensure predictable and high-quality delivery.
Technical Leadership
Collaborate with architects and engineers on APIs, integrations, data flows, and platform capabilities.
Evaluate trade-offs involving scalability, latency, resilience, security, and maintainability.
Ensure technical solutions support long-term platform strategy and reuse.
Drive platform thinking rather than one-off feature development.
Stakeholder Management
Serve as the primary product owner for AI initiatives.
Communicate roadmap priorities, risks, dependencies, and outcomes to leadership.
Coordinate across Product, Engineering, Data Science, Operations, Business, and Customer Success teams.
Influence strategic decisions using data and customer insights.
Required Qualifications Experience
8+ years in Product Management, Technical Product Management, or Product Owner roles.
Experience delivering AI, Machine Learning, Analytics, Data, API, or Platform products.
Experience working in Agile and SAFe delivery environments.
Demonstrated success driving cross-functional initiatives from concept to production.
Technical Skills
Strong understanding of:
AI and Machine Learning concepts
Generative AI and Agentic AI use cases
APIs and Microservices
Cloud Platforms
Data Engineering and Analytics
Platform Architecture
Operational Metrics and Monitoring
Agile and SAFe delivery methodologies
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.
Skills Required
- 8+ years in Product Management, Technical Product Management, or Product Owner roles.
- Experience delivering AI, Machine Learning, Analytics, Data, API, or Platform products.
- Experience working in Agile and SAFe delivery environments.
- Demonstrated success driving cross-functional initiatives from concept to production.
- Strong understanding of AI and Machine Learning concepts.
- Experience with Generative AI and Agentic AI use cases.
- Experience with APIs and Microservices.
- Experience with Cloud Platforms.
- Experience with Data Engineering and Analytics.
- Knowledge of Platform Architecture and operational monitoring/metrics.
- Ability to lead agile ceremonies and manage backlog, epics, and user stories.
What the Team is Saying
Jenny
Distinguished Engineer
Mastercard
Mastercard Compensation & Benefits Highlights
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Retirement Support — Careers materials and job postings advertise a “best‑in‑class” 10% retirement match (401k or equivalent). Public-facing benefits pages consistently position this as a standout element of the U.S. package.
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Leave & Time Off Breadth — Recent U.S. postings list 25 vacation days, 5 personal days, 10 paid holidays, up to 20 days of bereavement, and 80 hours of sick/safe time. The combined time‑off framework is described as well above typical U.S. baselines.
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Parental & Family Support — Company materials specify a minimum of 16 weeks paid new‑parent leave and inclusive family‑building support, with financial assistance for adoption, fertility, and surrogacy where allowed. Impact/ESG reporting also notes coverage enhancements for gender‑affirming care in North America.
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The Company
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.
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Mastercard Teams
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Mastercard Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.
Typical time on-site:
3 days a week
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