Director - MarTech AI Product Management
Job Description
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. As part of Team Amex, you'll experience this 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.
How will you make an impact in this role?
Responsibilities:
- Lead the Discovery, Development and Maintenance of scalable AI driven capabilities in the area of Document AI, Computer Vision, NLP, Chatbots (Conversational AI)
- Research and Deploy AI and Gen AI solutions to power enterprise business needs
- Partner with Research teams to take AI enabled initiatives from conceptualization to production
- Create data pipelines that feed machine learning models throughout the model lifecycle including training, inference, HITL and re-training.
- Closely follow research and open-source developments/publications and apply them.
- Drive high-level and detailed technical design conversations and reviews
- Function as an active member of an agile team
Qualifications:
- BS or MS degree in computer science, computer engineering, or other technical discipline.
- 2-3 years of software development experience
- Strong proficiency in Python language, machine learning libraries and SQL
- Core competencies in distributed technologies including Python frameworks, API Design, Linux, JSON, Postgres, NoSQL databases etc.
- Demonstrated experience in building and deploying a diverse set of ML models including vision and NLP based models at scale
- Experience in designing and implementing highly scalable, low latency Python applications.
- Familiarity with CI/CD pipelines and DevOps tools (Jenkins, GitLab).
- Proficiency with Containers (Docker) and orchestration (Airflow, Kubernetes)
- Practical knowledge of caching and distributed systems.
- Team player and a hands-on engineer.
- Ability to think abstractly and deal with ambiguous/under-defined problems.
- Have excellent written and verbal communications skills.
Preferred Qualifications:
- Hands-on experience in GCP/AWS/Azure cloud is a preferred
- Experience in deploying Gen AI use cases using Foundational LLMs and RAG pipelines
- Experience in the Financial Services industry is a plus
Benefits:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- 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
American Express Company Overview
American Express Company, commonly referred to as Amex, is a notable American payments and travel enterprise headquartered in New York City. It provides a range of financial products and services, including charge and credit cards, as well as travel-related offerings for both consumers and businesses globally.
The company operates through four main segments: U.S. Card Services, International Card Services, Global Commercial Services, and Global Network & Merchant Services. Founded in 1850, Amex transitioned into financial services, launching its first money order in 1882 and introducing traveler's cheques in 1891. The first charge card was issued in 1958, followed by the introduction of credit cards in 1987.
Notably, Amex promotes small businesses through initiatives like Small Business Saturday, which aims to encourage shopping at local stores. As of 2023, American Express reported revenues of $59.283 billion and employed approximately 26,000 individuals worldwide. The company maintains a commitment to corporate responsibility, contributing significantly to nonprofit organizations and supporting diverse small business initiatives.
January 21, 2026
5-7 business days
After submission
- •Job explicitly requires building, deploying, and maintaining production ML systems (Document AI, vision, NLP, chatbots) and MLOps practices (CI/CD, Docker, Kubernetes, Airflow).
- •Calls out GenAI, Foundational LLMs and RAG pipelines — clear, contemporary applied AI tool usage and workflows.
- •Role includes strategic responsibilities (lead discovery, partner with research, drive technical design) indicating AI adoption and productization rather than pure research.
This posting scores well on foundational needs (competitive pay, benefits, and employer stability) and provides strong signals about technical scope and access to modern AI work. However, there is a notable ambiguity about seniority and role scope (Director title vs. low years of experience and mixed hands-on/leadership language). Team composition, reporting lines, and explicit professional development details are not clearly specified and should be clarified in interviews.
- •Seniority mismatch: Title 'Director' implies senior leadership, but required experience lists only '2-3 years' — this is inconsistent and could indicate unclear expectations or a mis-posting.
- •Role ambiguity around management vs. hands-on engineering: posting asks for both 'Director' level leadership and 'team player and a hands-on engineer' without clarifying reporting or scope of managerial responsibility.
- •Clear, competitive compensation range provided ($144,250–$256,250) with comprehensive benefits (medical/dental/vision, retirement, parental leave).
- •Employer stability is strong (American Express: long-established, large revenue and workforce).
- •Role promises technical leadership across modern AI domains (Document AI, CV, NLP, GenAI, RAG) and end-to-end ML lifecycle responsibilities.
- •Can you describe the team structure for this role (size, direct reports, and which teams/stakeholders this role partners with day-to-day)?
- •The job title is Director but the listed experience is 2–3 years — what level of seniority and scope of ownership do you expect in the first 6–12 months (e.g., individual contributor vs. people manager, strategic ownership vs. hands-on IC)?
- •What concrete professional development resources are available (budget/time for conferences, courses, mentorship programs, and clear promotion paths)?
Location
Salary Range
$144k - $256k
Employment Type
Full-time
Experience Level
Mid-level
Posted
October 23, 2025 (1 week ago)
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