Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations. As a Product Manager on our Intelligent Payments team, you'll help drive the future of payments by uniting a passion for product development, frontier AI models and toolkits, and rigorous, data-driven problem solving with the strength of our industry-leading payments franchise. This is a chance to turn cutting-edge technology into real-world impact for clients around the world.
Job responsibilities:
Apply data-driven problem solving to shape product roadmaps and deliver impactful solutions
Partner across the organization to uncover opportunities where data and AI can elevate the payments experience for our clients
Research and stay ahead of developments across the payments industry, AI models and tools, and project management best practices
Analyze, track, and evaluate product metrics—balancing time, cost, and quality targets across the full product development life cycle
Collaborate with engineering to define requirements, epics, and user stories that bring products to life
Build strong stakeholder relationships that foster alignment and clarity around analytics strategies and product roadmaps
Required qualifications, capabilities, and skills 3+ years of experience, or equivalent expertise, in product management or a relevant domain area
Proficient knowledge of the product development life cycle
Hands-on experience with product life cycle activities, including discovery and requirements definition
Proficient knowledge of data analytics and strong data literacy
Exceptional communication and collaboration skills that drive team success and stakeholder engagement
A track record of delivering high-quality results while working independently and taking full ownership of projects
Preferred qualifications, capabilities, and skills Prior experience working within a highly matrixed, complex organization
Proficiency in programming languages such as SQL, Python, or R
Experience with analytics and business intelligence tools such as Tableau, Power BI, or similar
A proven track record in the financial services industry, with a deep understanding of its unique challenges and opportunities
