Sr Associate-Digital Product Management - Enterprise AI Platforms

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 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. The Enterprise AI Platform organization builds foundational capabilities that enable teams across American Express to develop and scale AI/ML and Generative AI products and experiences securely and responsibly. Our team brings together talent and experience from Big Tech, AI research and academia, startups, and American Express, combining deep expertise and diverse perspectives with an entrepreneurial mindset and a passion for building. Together, we are focused on enabling American Express to operate as an AI-powered enterprise and deliver measurable business impact. We are seeking a Manager of Product Management to own one or more strategic product areas within the Enterprise AI Platform. Reporting to the Director of Product Management, this leader will identify high-value customer and developer problems, define product strategy and roadmaps, and partner closely with Engineering and Forward-Deployed Engineering (FDE) to translate customer learnings into scalable platform capabilities. This leader will own the end-to-end product lifecycle, from discovery and product definition through launch, adoption, measurement, and continuous improvement. This role requires exceptional analytical and product judgment, technical fluency, and customer orientation, with the ability to turn complex and ambiguous problems into scalable products. Responsibilities

Develop a deep understanding of customer and developer needs through direct discovery, quantitative and qualitative analysis, product data, FDE learnings, and market insights.

Structure customer problems, form and test hypotheses, and quantify and validate high-value product opportunities.

Define product outcomes and roadmaps, translating recurring customer and FDE needs into reusable capabilities and aligning cross-functional partners around priorities and trade-offs.

Own and prioritize products from concept through launch and adoption, partnering closely with Engineering to drive product decisions and alignment while balancing customer value, developer experience, technical feasibility, scalability, speed, risk, and cost.

Partner with FDE and internal customers to drive adoption, validate value, and identify opportunities for broader reuse.

Define success metrics and value-realization measures, using product data, experimentation, and customer evidence to evaluate outcomes and continuously improve product decisions and roadmaps.

Qualifications Minimum Qualifications

5+ years of product management experience building enterprise software, platforms, developer products, or AI/ML and Generative AI products, including demonstrated experience taking technical products from concept through launch, adoption, and iteration. Strong analytical and product judgment, with demonstrated ability to structure customer problems, test hypotheses, and translate quantitative and qualitative evidence into product decisions and measurable outcomes. Strong understanding of AI/ML and Generative AI products, technologies, and application architectures, with the technical fluency to partner effectively with Engineering and Data Science. Demonstrated ability to translate customer needs into scalable products and capabilities in partnership with technical and cross-functional teams. Strong communication and stakeholder influence skills. Preferred Qualifications

Experience building AI/ML or Generative AI products, developer platforms, ML infrastructure, or other highly technical products. Experience working with customer-facing engineering or FDE teams to translate implementation learnings into scalable products. Experience with enterprise technology governance, security, privacy, or responsible AI. Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

We 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. American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions. We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually. US Job Seekers - Click to view the “Know Your Rights” poster. If the link does not work, you may access the poster by copying and pasting the following URL in a new browser window: 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.​