AI Product Manager

American Express

. Identify and prioritize high-value AI opportunities across EDMP .

Posted 9/29/2026full-timePhoenix • Arizona • United StatesMid-LevelSenior💰 $123,000 - $215,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Product Management, focusing on the design and prototyping of AI-powered solutions, including agents and workflow automation. Proficient in translating business needs into technical requirements while ensuring adherence to responsible AI practices and evaluation metrics.

Highest-signal resume keywords

AI Product ManagementPrototyping AI SolutionsEnterprise GenAI PlatformsAPI IntegrationProduct Discovery

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAI ApplicationsWorkflow AutomationPrompt EngineeringRetrieval-Augmented Generation (RAG)Agent OrchestrationEvaluation ApproachesSuccess Metrics DefinitionTechnical Product ManagementSolution Engineering

Soft Skills

Effective CommunicationUser Feedback IterationCollaboration Across Teams

Tools & Technologies

OpenAI/ChatGPT EnterpriseMicrosoft Copilot StudioAzure AIGit-based WorkflowsEnterprise Data Sources

Industry Keywords

Responsible AISecurityPrivacyGovernanceDigital Platforms

Tech Stack

Tools & technologies

AzurePython

About the role

Key responsibilities & impact

Identify and prioritize high-value AI opportunities across EDMP
Lead product discovery with business teams to understand workflows, pain points, user needs, and transformation opportunities
Translate business problems into AI product concepts, requirements, prototypes, and roadmaps
Redesign workflows using AI-first principles, including agents, copilots, automation, and human-in-the-loop experiences
Test ideas with users and iterate based on feedback, usage data, and solution performance
Define success metrics and evaluation frameworks for solution quality, adoption, reliability, productivity gains, and business impact
Design, build, and prototype AI-powered products, agents, copilots, knowledge assistants, and workflow automations
Develop agentic workflows using enterprise GenAI platforms
Build solutions leveraging APIs, enterprise data sources, RAG, tools, connectors, and workflow orchestration
Use Python or comparable tools to prototype applications, integrations, and AI-enabled workflows
Work with APIs, JSON payloads, authentication patterns, Git-based workflows, and modern developer environments
Design and test prompts, agent instructions, tool usage, retrieval strategies, and orchestration patterns
Build evaluation approaches for AI output quality, reliability, grounding, and user experience
Experiment with emerging AI capabilities for enterprise business problems
Partner with engineering, architecture, data, security, risk, and business teams to move prototypes into production
Identify reusable agent capabilities, integrations, and solution patterns
Establish design patterns, implementation playbooks, evaluation approaches, and responsible AI best practices
Help teams navigate data access, security, privacy, governance, reliability, and responsible AI
Share learnings from experiments and production deployments to improve EDMP AI delivery

Requirements

What you’ll need

5+ years of experience in Technical Product Management, Product Management, Solution Engineering, AI Product Management, Software Development, Technical Consulting, or a related field
Demonstrated experience delivering AI-enabled products, enterprise software, workflow automation, or digital platforms
Hands-on experience building or configuring AI agents, copilots, chatbots, AI applications, or workflow automation solutions
Demonstrated ability to independently prototype AI-powered solutions before partnering with engineering teams for production deployment
Strong product discovery skills and ability to translate ambiguous business problems into practical technical solutions
Experience working directly with users and business stakeholders to test ideas, gather feedback, and iterate quickly
Experience defining success metrics, evaluating AI solution performance, and measuring business value
Ability to communicate effectively across technical and non-technical audiences and operate across Product, Technology, and Business teams
Hands-on experience with enterprise GenAI platforms such as OpenAI/ChatGPT Enterprise, Microsoft Copilot Studio/Azure AI, Anthropic Claude, or comparable platforms
Ability to independently prototype AI applications using Python or a comparable programming language
Experience integrating APIs, enterprise data sources, and workflow automation platforms
Familiarity with modern development environments and Git-based development workflows
Practical understanding of prompt engineering, retrieval-augmented generation (RAG), agent orchestration, tool/function calling, and emerging agentic AI patterns
Experience designing or implementing AI application evaluation approaches, including output quality, grounding, reliability, and user experience
Understanding of enterprise AI considerations including security, privacy, governance, responsible AI, and production deployment
Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, Business, or a related discipline, or equivalent professional experience
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities