Sr Mgr-Digital Product Management - AI Enterprise Platforms

Sr Mgr-Digital Product Management - AI Enterprise Platforms

+ Sunnyvale, CA, United States

+ New York, NY, United States

(Hybrid)

** Job Description*
* 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 Senior 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 simple, scalable products that deliver meaningful outcomes.

** 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 ambiguous problems, form and test hypotheses, and quantify and validate the highest-value opportunities.

+ Define product strategy and outcomes, translating recurring customer and FDE needs into reusable platform capabilities while determining what to standardize, scale, or leave use-case specific.

+ Own multi-year roadmaps and investment priorities, making evidence-based trade-offs across customer value, developer productivity, technical feasibility, scalability, economics, risk, and business value.

+ Lead products from concept through delivery in close partnership with Engineering, making clear product and technology choices while balancing developer experience, speed, reliability, cost, and enterprise requirements.

+ Partner with FDE and internal customers to launch and scale products, accelerate adoption, validate value, and identify barriers to broader reuse.

+ Define success metrics and value-realization measures, using product data, experimentation, customer evidence, and economic analysis to evaluate outcomes and inform product strategy and investment decisions.

+ Influence senior leaders and align Engineering and cross-functional partners around product strategy, priorities, trade-offs, and outcomes.

** Qualifications*
* ** Minimum Qualifications*
* + 5-8+ years of product management experience building enterprise software, platforms, developer products, or AI/ML and Generative AI products, including demonstrated experience taking complex technical products from concept through launch, adoption, and iteration.

+ Exceptional analytical and product judgment, with demonstrated ability to structure ambiguous problems, test hypotheses, and translate quantitative and qualitative evidence into product strategy, investment decisions, and measurable outcomes.

+ Strong understanding of AI/ML and…