Product Management Lead, AI-Driven Experimentation

Mastercard; Leixlip; On-site; EUR 100,000 - 140,000; Full time

Job summary

Mastercard is seeking a Manager of Product Management to lead end-to-end product workstreams within the Services team, focusing on data-driven experimentation and scalable product capabilities for a global client base.

You will partner with engineering, design, sales, and regional teams to drive platform enhancements, go-to-market readiness, and customer value through AI-enhanced experimentation and analytics.

Qualifications

• Experience in product management, product strategy or a related field.

Responsibilities

• Own and drive product workstreams leveraging customer research, market insights, usage data, business priorities and stakeholder feedback to identify opportunities and inform product roadmap decisions that deliver measurable business outcomes.
• Partner closely with engineering, design, sales, marketing, client delivery, and regional product teams to deliver scalable product capabilities, strengthen go-to-market readiness, and support adoption across target customer segments.
• Support product transformation initiatives, including platform enhancements and new capabilities identifying opportunities where AI can enhance experimentation, measurement, optimisation, and customer value.
• Serve as a trusted product partner for regional and market-facing teams, providing guidance on product capabilities, customer use cases, roadmap direction and priorities.
• Contribute to go-to-market readiness by helping define product positioning, sales enablement materials, and launch plans.
• Coach and mentor junior team members fostering collaboration, accountability, and strong product management practices.

Job description

Mastercard is seeking a Manager of Product Management to lead end-to-end product workstreams within the Services team, focusing on data-driven experimentation and scalable product capabilities for a global client base.

You will partner with engineering, design, sales, and regional teams to drive platform enhancements, go-to-market readiness, and customer value through AI-enhanced experimentation and analytics.