American Express
Senior Manager - Digital Product Management
Phoenix, AZ +1 · Hybrid · Manager · Full-time · Posted Oct 29, 2026
- Location
- Phoenix, AZ
New York, NY - Experience
- 8+ years; product management, engineering, deployment, or operations experience.
- Education
- Bachelor's degree in Information Systems, Computer Science, Information Technology, Engineering, Business, or comparable experience; advanced degree preferred.
- Visa sponsorship
- Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship for these positions.
About the job
Leads strategy and delivery for AI-powered operations products that help Technology Operations detect, diagnose, and resolve incidents with greater automation and safety.
What you'll do
- Own AI Ops product vision, roadmaps, backlogs, and measurable success metrics.
- Translate operational needs into AI-enabled product capabilities and partner with engineering, SRE, support, risk, and compliance teams to deliver them.
- Drive adoption, governance, vendor evaluation, and value realization for AI Ops products.
What they ask for
- 8+ years of 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, problem, and change management, ITSM workflows, and production operations.
- Bachelor's degree in a relevant field or comparable experience.
Nice to have
- Advanced degree preferred.
- Experience with observability platforms, ServiceNow or equivalent ITSM platforms, cloud environments, or GenAI/LLM concepts.
Pay
USD $123000 - $215250 annually (base salary); bonus + benefits
Tools
AWS, Azure, Google Cloud, ServiceNow, RAG, GenAI, LLM, ITSM
AI focus
Leads AI Ops product development, including agentic root-cause analysis, event correlation, operational copilots, guided remediation, and safe self-healing automation, with responsible AI governance and evaluation.
Model-written summary · the original posting is authoritative