Job DescriptionWe are seeking an experienced product manager with strong technical acumen to lead the development of cutting-edge AI-powered customer experiences that leverage advances in
generative and agentic AI technology.
This role will be responsible for delivering the product strategy and end-to-end customer experience for AI-driven interactions. This role will translate customer needs, business priorities, and emerging AI capabilities into products that are valuable, safe, and scalable in a regulated environment. You will work closely with cross-functional teams including data scientists, engineers, business stakeholders, and design teams to deliver high impact, scalable AI solutions that enhance the customer experience.
ResponsibilitiesHow will you make an impact in this role?- Help define and execute the roadmap for AI powered customer experiences, balancing long term vision with immediate business priorities.
- Lead product delivery from concept through launch and iteration, partnering with engineering, data science, design, legal, risk, and business stakeholders.
- Drive experimentation, measurement, and continuous improvement using product analytics, model evaluation, and user feedback.
- Partner with engineering on the design and deployment of LLM based features and agent workflows, ensuring high quality, accurate, and scalable solutions.
- Use data to inform decisions on model selection, prompt and context design, evaluation methods, tool integration, and workflow design.
- Stay current on AI advances and bring practical ideas into the roadmap where they create clear customer or business value.
QualificationsMinimum Qualifications- Bachelor's degree in Computer Science, Data Science, Engineering, Business, Analytics, or a related field.
- 3+ years of product management, tech consulting, or a related field with clear ownership of digital product outcomes.
- Strong understanding of modern AI product design patterns, including LLM-based experiences, retrieval systems, agentic tool use, and evaluation.
- Ability to work credibly with technical teams in an Agile environment while keeping customer value and business impact at the center.
- Strong written and verbal communication, structured thinking, and stakeholder management.
- A passion for AI, product experimentation, and the future of digital customer experiences.
Preferred Qualifications.
- Master's degree.
- Experience shipping customer facing AI products in a regulated or complex enterprise environment with modern LLM evaluation systems.
- Hands-on experience with agentic orchestration frameworks (e.g., LangGraph or similar).
- Hands-on experience of prototyping using LLM-powered tools to build digital products using effective prompt engineering and orchestration.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
About the TeamWe back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:
- 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
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
The below represents the expected salary range for this job requisition. Ultimately, in determining your pay, we'll consider your location, experience, and other job-related factors.
