Director-Digital Product Management - Enterprise AI Platforms

American Express Company; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

American Express seeks a Director of Product Management for the Enterprise AI Platform to own the strategy, multi-year roadmap, investment priorities, delivery, adoption, and measurable outcomes for a portfolio within the Enterprise AI Platform.

The Director will partner with Engineering, Architecture, Data Science, Security, Risk, and business teams to translate customer learnings into reusable platform capabilities and accelerate responsible AI at scale.

Qualifications

• 10+ years of progressive product management experience in enterprise software, platforms, or cloud technologies.
• Proven ability to define product strategy and lead multi-year roadmaps for complex enterprise platforms.
• Experience scaling AI-powered products and developer tools.

Responsibilities

• Own the strategy, multi-year roadmap, and investment priorities for a portfolio within the Enterprise AI Platform.
• Lead delivery, adoption, and measurable outcomes across teams and stakeholders.
• Partner closely with Engineering, Architecture, Data Science, Security, Risk, and business units to translate learnings into reusable platform capabilities.
• Influence senior stakeholders and drive alignment across matrixed organizations.

Skills

Enterprise product management

AI/ML platforms

Leadership

Stakeholder alignment

Tools

AI platform tooling

Cloud platforms

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 partners with business and technology teams to shape the Enterprise AI strategy, bring emerging technologies to the forefront, and build scalable, reusable AI platforms. This team plays a pivotal role in enabling American Express to operate as an AI-powered enterprise by equipping teams with the skills, platforms, and seamless deployment capabilities needed to accelerate responsible AI innovation, enhance decision-making, and drive customer impact with speed and scale.

Innovation remains central to evolving our Enterprise AI Platforms. The Applied AI Innovation function will evaluate and apply emerging AI capabilities and partnerships to shape future platform capabilities and accelerate enterprise adoption

The Enterprise AI Platform team builds the foundational capabilities that enable teams across American Express to develop, deploy, govern, and scale AI-powered products and experiences securely and responsibly.

We are seeking an experienced Director of Product Management to own the strategy, multi-year roadmap, investment priorities, delivery, adoption, and measurable outcomes for a portfolio within the Enterprise AI Platform

This leader will determine where enterprise investment can remove common barriers to AI development, translate repeated customer and FDE learnings into reusable platform capabilities, and make deliberate build, buy, partner, and standardization decisions. The goal is to make it materially faster, easier, and more cost-effective for teams across American Express to move AI use cases from experimentation to secure, scaled production.

The Director will partner closely with Engineering, Architecture, Data Science, Security, Risk, and business teams while leading product managers responsible for delivering enterprise-scale AI capabilities.

What Success Looks Like

Success means establishing a clear product strategy and investment thesis for the portfolio; increasing adoption and reuse of common AI platform capabilities; reducing the time, cost, and complexity required to build and operate AI applications; and demonstrating measurable improvements in developer productivity, platform economics, and business value enabled.

• 10+ years of progressive product management experience, including leadership experience building enterprise software, platforms, developer products, AI/ML products, or cloud technologies.
• Proven experience defining product strategy and leading multi-year roadmaps for complex enterprise platforms.
• Demonstrated success building and scaling products that enable other teams to develop differentiated customer or employee experiences.
• Strong understanding of modern AI application architecture and the platform capabilities required to build, evaluate, deploy, govern, observe, and operate AI systems at enterprise scale.
• Experience partnering deeply with Engineering to deliver highly technical platform capabilities.
• Proven ability to influence senior stakeholders and drive alignment across complex, matrixed organizations.
• Strong product judgment, including the ability to determine what should be standardized, abstracted, reused, purchased, or left to individual product teams while balancing customer, technical, operational, risk, and business considerations.
• Excellent executive communication, storytelling, and presentation skills.

Preferred Qualifications

• Experience leading product strategy for enterprise AI platforms, developer tools, ML infrastructure, or intelligent automation.
• Experience building or scaling AI-powered products, LLM platforms, agentic systems, or AI orchestration capabilities.
• Familiarity with modern AI platform capabilities such as model access and gateways, agent and tool integration, evaluation, retrieval and knowledge systems, prompt management, and AI observability.
• Experience with enterprise AI governance, security, privacy, model risk management, and responsible AI.
• Experience developing partnerships with hyperscalers, AI model providers, enterprise technology companies, or open-source communities.
• Experience defining platform adoption strategies and measuring developer productivity, platform health, platform economics, and business value enabled.

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.