Senior Manager - Digital Product Management

Joining Amex Tech means discovering and shaping your contribution to something big. Here, you can work alongside talented tech teams and build a unique career with the Powerful Backing of American Express. With a range of opportunities to work with the latest technologies, and a commitment to back the broader engineering community through open source, our mission is to power your success. Because Amex Tech is powered by our technology, our culture, and our colleagues. The Technology organization enables and accelerates the company’s growth strategies, delivering global capabilities and services in support of Amex’s customers and colleagues, while maintaining 24/7 servicing and availability to ensure an uninterrupted, high-quality customer experience. Technology provides the foundation for everything we do in the company while driving differentiation through building and leveraging innovative technology and data insights. Role focus: Lead product strategy and execution for AI-powered operations capabilities that move Technology Operations from reactive incident response toward AI-assisted, AI-augmented, and safely automated operations. As a Senior Manager, Digital Product Management for AI Ops, you will lead product strategy and execution for a portfolio of AI-powered operations capabilities that help transform Technology Operations from manual, reactive incident response to AI-assisted, AI-augmented, and increasingly autonomous operations. You will define and manage product roadmaps across agentic root-cause analysis, event correlation and noise reduction, operational copilots, knowledge and skills management, guided remediation, and safe self-healing workflows. This role sits at the intersection of product management, SRE, observability, ITSM, automation, data platforms, and responsible AI. You will translate operational pain points into AI-enabled product capabilities, define success metrics, prioritize the backlog, and partner closely with engineering, SRE, application support, infrastructure, risk, compliance, and vendor partners to deliver production-grade AI Ops products at enterprise scale. The ideal candidate is a product leader who can combine strong customer discovery and roadmap discipline with the technical fluency to reason about AI/ML systems, GenAI and agentic workflows, observability data, knowledge quality, model evaluation, human-in-the-loop controls, and governed automation in a regulated environment.