Lead Technical Product Manager

Mastercard

Ireland

On-site

EUR 120,000 - 160,000

Full time

2 days ago
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Job summary

Mastercard Inc. is seeking a Lead Technical Product Manager to drive the definition, execution, and operationalisation of AI-powered products and services.

The role partners with engineering, data science, business, risk, and operations teams to ensure AI solutions are scalable, measurable, and aligned with business objectives. The ideal candidate has 8+ years in product management or product ownership, deep technical expertise in AI/ML systems, APIs, data services, and platform products, and

Qualifications

  • 8+ years in Product Management, Technical Product Management, or Product Owner roles.
  • Proven experience delivering AI, ML, Analytics, Data, API, or Platform products.
  • Experience in Agile and SAFe delivery environments.

Responsibilities

  • Define product vision and roadmap for AI-powered capabilities and operational services.
  • Partner with stakeholders to identify opportunities for automation and operational improvements.
  • Translate business needs into product requirements, features and delivery plans.

Skills

AI/ML systems
APIs
Data services
Platform products
Agile
SAFe
Backlog management
Cross-functional collaboration

Education

8+ years in Product Management / Technical Product Management

Tools

APIs

Job description

  • 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 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
  • 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
  • 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
  • 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
  • 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

The ideal candidate combines strong product management expertise with technical depth in AI/ML systems, platform products, APIs, data services, and operational workflowsExperience delivering AI, Machine Learning, Analytics, Data, API, or Platform productsDemonstrated success driving cross-functional initiatives from concept to production8+ years in Product Management, Technical Product Management, or Product Owner rolesExperience working in Agile and SAFe delivery environmentsOperational Metrics and MonitoringAI and Machine Learning conceptsGenerative AI and Agentic AI use casesStrong understanding of:APIs and MicroservicesData Engineering and AnalyticsAgile and SAFe delivery methodologiesPlatform ArchitectureCloud Platforms

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