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American Express

Director – Digital Product Management, Enterprise AI Platforms

American Express

. Own the product vision and strategy for a portfolio within the Enterprise AI Platform .

Posted 10/28/2026full-timeUnited StatesLead💰 $144,250 - $256,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management for enterprise AI platforms, focusing on product vision, strategy, and lifecycle management. Proven ability to lead cross-functional teams and drive alignment among stakeholders while delivering scalable, secure, and reliable platform capabilities.

Highest-signal resume keywords
Product Management ExperienceAI Application ArchitectureEnterprise Software DevelopmentStakeholder InfluenceExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Product StrategyRoadmap DevelopmentAI/ML Product DevelopmentPlatform CapabilitiesMetrics DefinitionTechnical Platform DeliveryAI GovernanceModel Risk ManagementIntelligent AutomationAI Orchestration
Soft Skills
LeadershipStorytellingPresentation SkillsCollaborationCustomer Focus
Tools & Technologies
Developer ToolsML InfrastructureAI-Powered ProductsLLM PlatformsAgentic Systems
Industry Keywords
Enterprise AI PlatformsPlatform Adoption MeasurementSecurityPrivacyTechnology Partnerships

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • Own the product vision and strategy for a portfolio within the Enterprise AI Platform
  • Translate recurring customer needs and enterprise AI/FDE learnings into scalable, standardized, reusable platform capabilities
  • Simplify the AI developer journey and establish scalable paved roads
  • Evaluate emerging AI technologies and ecosystem shifts
  • Own the product roadmap and prioritize investments based on customer value, developer productivity, feasibility, scalability, reuse, platform economics, and business value
  • Lead build-versus-buy-versus-partner decisions and define enterprise standards versus team flexibility
  • Align Product, Engineering, Architecture, Security, Risk, and business stakeholders
  • Lead product lifecycle from discovery through delivery with Engineering, Architecture, and Forward-Deployed Engineering
  • Deliver secure, scalable, reliable platform capabilities, APIs, developer tooling, and reusable AI services
  • Drive adoption and reuse across engineering teams and business units
  • Define and monitor metrics for adoption, reuse, productivity, time-to-production, platform health, economics, customer satisfaction, and business value
  • Use customer feedback, platform telemetry, and FDE insights for continuous improvement
  • Build and lead a high-performing product organization and develop product managers and future product leaders

Requirements

What you’ll need
  • 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 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 balancing customer, technical, operational, risk, and business considerations
  • Excellent executive communication, storytelling, and presentation skills
  • Preferred: experience with enterprise AI platforms, developer tools, ML infrastructure, intelligent automation, AI-powered products, LLM platforms, agentic systems, AI orchestration, AI governance, security, privacy, model risk management, responsible AI, technology partnerships, and platform adoption measurement
  • Visa sponsorship may be provided for certain positions depending on requirements and applicable laws

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
  • Equity, if applicable