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.

- Bachelor's degree in Information Systems, Computer Science, Information Technology, Engineering, Business, or comparable experience; advanced degree preferred.
- 8+ years of successful product management, engineering, deployment, or operations experience in enterprise-grade technology environments.
- Experience product-managing AI, ML, GenAI, automation, observability, IT operations, SRE, or platform products.
- Strong understanding of incident management, problem management, change management, ITSM workflows, and production operations.
- Familiarity with AIOps capabilities such as event correlation, anomaly detection, root-cause analysis, predictive operations, automated remediation, and self-healing.
- Demonstrated ability to translate ambiguous operational problems into product strategy, roadmaps, user stories, requirements, and measurable outcomes.
- Experience defining success metrics for AI or data-driven products, including adoption, quality, accuracy/helpfulness, operational efficiency, and risk outcomes.
- Proven ability in Agile methodologies, communication management, product strategy, road mapping, requirements management, and feature prioritization.
- Experience collaborating with senior stakeholders across technology, operations, risk, compliance, security, and vendor organizations to drive software solutions and innovation.
- Technical fluency with cloud platforms such as AWS, Azure, or Google Cloud; hybrid infrastructure, automation, DevOps, or SRE experience preferred.

Preferred / Nice to Have

- Experience with observability platforms, logging/metrics/tracing, ServiceNow or equivalent ITSM platforms, automation/orchestration tools, and enterprise cloud environments.
- Familiarity with GenAI/LLM concepts, RAG, prompt engineering, agentic workflows, model evaluation, feedback loops, and responsible AI controls.
- Experience with enterprise AI governance, auditability, RBAC, human-in-the-loop workflows, and risk-managed automation.
- Certifications such as CompTIA A+, Network+, Security+, public cloud certification, product management certification, or Agile/SAFe certification are pluses.
- DevOps knowledge for highly available IT infrastructure preferred.
- Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.