New York, NY, United States
18 hours ago
Payments Data & Analytics- Product Manager, Vice President

With around $10 trillion worth of payments flowing through our payment rails every day, our platform is designed to democratize analytics across the organization. This enables AI/ML development, strategic business decisions, regulatory reporting, and the creation of new data products.

As a Product Manager in our Payments Data & Analytics team, you will play a pivotal role in shaping the future of our products. You will augment the capabilities of our award-winning solutions and develop innovative products that delight our clients. You will collaborate closely with cross-functional teams, including data engineers, data scientists, UI/UX designers, sales, and clients to ensure our products meet the evolving needs of our clients and the market.


Job Responsibilities

Be part of an award-winning, AI-powered, analytics and forecasting solution aimed at Fortune 500 Treasurers and CFOsDrive product design through creative and empathetic problem-solving working with clients, UI/UX designers, and internal stakeholdersRefine our product strategy by weighing feature costs and benefits in the context of our overall product visionLead end-to-end delivery of product features in partnership with engineering, data science, and design teamsAct like an owner of the product’s success for internal stakeholders

Required qualifications, capabilities, and skills

8+ years of professional experience in smart creative roles e.g. product management, strategy consultingExecution focused and comfortable dealing with uncertainty in decision makingProficient knowledge of the product development life cycle including discovery and requirements definitionSuperior problem structuring and communication skills to enable senior management decision makingExperience in product development/product management, ideally focused on B2B paymentsUnderstand how to use data to drive business value leveraging a range of analytical tools (e.g. SQL, Python)Experience with AI/ML concepts and their application in cash flow forecastingFamiliarity with Enterprise Resource Planning (ERP) and accounting software landscape helpful
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