Director-Digital Product Management - Enterprise AI Platforms
American Express
23 hours ago
Full-time
On-site
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.
RESPONSIBILITIES
Product Strategy & Discovery
* Own the product vision and strategy for a portfolio within the Enterprise AI
Platform.
* Identify recurring customer needs and translate enterprise AI and FDE
learnings into scalable platform opportunities, distinguishing capabilities
that should be standardized and reused from requirements that should remain
application-specific.
* Identify opportunities to simplify the AI developer journey and establish
scalable "paved roads" while preserving teams' ability to innovate.
* Evaluate emerging AI technologies and ecosystem shifts based on their
potential to improve customer outcomes, developer productivity, platform
economics, enterprise reuse, and speed to production.
Roadmap & Investment Prioritization
* Own the product roadmap and prioritize investments based on customer value,
developer productivity, technical feasibility, scalability, enterprise reuse,
platform economics, and business value enabled.
* Lead product trade-offs and build-versus-buy-versus-partner decisions,
including when capabilities should be developed internally, sourced from
technology partners, or adopted from open-source ecosystems.
* Make deliberate choices about where the platform should provide enterprise
standards and abstractions versus where product teams should retain
flexibility.
* Align Product, Engineering, Architecture, Security, Risk, and business
stakeholders around priorities, investments, and product outcomes.
Product Development & Delivery
* Lead the product lifecycle from discovery through delivery in close
partnership with Engineering, Architecture, and Forward-Deployed Engineering
teams.
* Deliver secure, scalable, and reliable platform capabilities, APIs, developer
tooling, and reusable AI services that reduce the effort required for teams
to build and operate AI applications.
* Balance innovation and speed with enterprise requirements for security,
privacy, risk, responsible AI, reliability, and operational excellence.
Launch, Adoption & Scale
* Partner with Forward-Deployed Engineering to accelerate adoption, solve
high-value enterprise use cases, and identify platform gaps through direct
engagement with internal customers.
* Translate FDE implementations and customer learnings into reusable platform
capabilities and patterns, while distinguishing repeatable enterprise needs
from use-case-specific requirements.
* Drive adoption and reuse across engineering teams and business units by
improving developer experience and removing barriers to moving AI
applications from experimentation to production.
Measurement & Continuous Improvement
* Define product success metrics across adoption and reuse, developer
productivity, time-to-production, platform health and reliability, platform
economics, customer satisfaction, and business value enabled.
* Use customer feedback, platform telemetry, and FDE insights to continuously
improve products and inform roadmap and investment decisions.
* Measure whether platform investments reduce duplicated engineering effort,
improve reuse, accelerate delivery, or improve the economics of developing
and operating AI applications.
Product & People Leadership
* Build and lead a high-performing product organization, developing product
managers and future product leaders while establishing strong operating
mechanisms, accountability, and execution excellence.
* Establish strong product practices and decision frameworks that drive
strategic clarity and effective product decisions.
* Build a culture of customer focus, technical excellence, collaboration, and
continuous learning.
QUALIFICATIONS
* 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.
At American Express, our culture is built on a 175-year history of
innovation, shared values
[https://www.americanexpress.com/en-us/company/who-we-are/]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
[https://www.americanexpress.com/en-us/colleagues/benefits].
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
[https://www.eeoc.gov/poster]” poster. If the link does not work, you may access
the poster by copying and pasting the following URL in a new browser window:
https://www.eeoc.gov/poster.
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.
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.
RESPONSIBILITIES
Product Strategy & Discovery
* Own the product vision and strategy for a portfolio within the Enterprise AI
Platform.
* Identify recurring customer needs and translate enterprise AI and FDE
learnings into scalable platform opportunities, distinguishing capabilities
that should be standardized and reused from requirements that should remain
application-specific.
* Identify opportunities to simplify the AI developer journey and establish
scalable "paved roads" while preserving teams' ability to innovate.
* Evaluate emerging AI technologies and ecosystem shifts based on their
potential to improve customer outcomes, developer productivity, platform
economics, enterprise reuse, and speed to production.
Roadmap & Investment Prioritization
* Own the product roadmap and prioritize investments based on customer value,
developer productivity, technical feasibility, scalability, enterprise reuse,
platform economics, and business value enabled.
* Lead product trade-offs and build-versus-buy-versus-partner decisions,
including when capabilities should be developed internally, sourced from
technology partners, or adopted from open-source ecosystems.
* Make deliberate choices about where the platform should provide enterprise
standards and abstractions versus where product teams should retain
flexibility.
* Align Product, Engineering, Architecture, Security, Risk, and business
stakeholders around priorities, investments, and product outcomes.
Product Development & Delivery
* Lead the product lifecycle from discovery through delivery in close
partnership with Engineering, Architecture, and Forward-Deployed Engineering
teams.
* Deliver secure, scalable, and reliable platform capabilities, APIs, developer
tooling, and reusable AI services that reduce the effort required for teams
to build and operate AI applications.
* Balance innovation and speed with enterprise requirements for security,
privacy, risk, responsible AI, reliability, and operational excellence.
Launch, Adoption & Scale
* Partner with Forward-Deployed Engineering to accelerate adoption, solve
high-value enterprise use cases, and identify platform gaps through direct
engagement with internal customers.
* Translate FDE implementations and customer learnings into reusable platform
capabilities and patterns, while distinguishing repeatable enterprise needs
from use-case-specific requirements.
* Drive adoption and reuse across engineering teams and business units by
improving developer experience and removing barriers to moving AI
applications from experimentation to production.
Measurement & Continuous Improvement
* Define product success metrics across adoption and reuse, developer
productivity, time-to-production, platform health and reliability, platform
economics, customer satisfaction, and business value enabled.
* Use customer feedback, platform telemetry, and FDE insights to continuously
improve products and inform roadmap and investment decisions.
* Measure whether platform investments reduce duplicated engineering effort,
improve reuse, accelerate delivery, or improve the economics of developing
and operating AI applications.
Product & People Leadership
* Build and lead a high-performing product organization, developing product
managers and future product leaders while establishing strong operating
mechanisms, accountability, and execution excellence.
* Establish strong product practices and decision frameworks that drive
strategic clarity and effective product decisions.
* Build a culture of customer focus, technical excellence, collaboration, and
continuous learning.
QUALIFICATIONS
* 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.
At American Express, our culture is built on a 175-year history of
innovation, shared values
[https://www.americanexpress.com/en-us/company/who-we-are/]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
[https://www.americanexpress.com/en-us/colleagues/benefits].
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
[https://www.eeoc.gov/poster]” poster. If the link does not work, you may access
the poster by copying and pasting the following URL in a new browser window:
https://www.eeoc.gov/poster.
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.