Top Fintech Product Manager Jobs in Atlanta, GA

Lead regional growth strategy for USDC by building partnerships with exchanges and OTC desks, delivering regionally compliant product initiatives, and creating AI-driven, automated growth platforms. Own experimentation frameworks, dashboards, and metrics to scale liquidity, adoption, and measurable share shift versus competing stablecoins through cross-functional execution and data-driven prioritization.

The Senior Product Manager - Technical will enhance customer experience through product innovation, manage APIs, and ensure cohesive UX across platforms, collaborating with engineering and design teams.

As Principal Product Manager, you will define the strategy for Upstart's pricing platform, enhancing its scalability and reliability while collaborating across teams to innovate pricing capabilities for loan products.

The IT Delivery Manager is responsible for overseeing IT programs, coordinating cross-functional initiatives, managing user experiences, defining success metrics, and serving as a liaison between technical teams and business stakeholders.

The Product Marketing Manager will develop marketing strategies for SMB products, optimize user journeys, and collaborate on growth initiatives.

The Principal Product Manager, Growth will drive product strategies to enhance homeowner acquisition through innovative self-serve tools and cross-functional collaboration, focusing on growth levers and AI integration.

The Product Manager will oversee product discovery and delivery, manage the backlog, and collaborate with teams to align product strategy with customer needs.

The Senior Product Manager will lead financial reporting product roadmap, manage data lineage, and collaborate on engineering and accounting interfaces to ensure compliance and operational efficiency.

Lead product ownership for an AI-native portfolio, defining user needs, creating product specifications, and driving measurable outcomes for financial advisors.

Manage and execute the delivery backlog for AI products, translate requirements into user stories, drive agile execution and support cross-functional integrations, ensuring adherence to responsible AI standards and quality metrics.