Campus Graduate Masters Summer Internship Program

About the Role

The Enterprise Technology Services organization partners with every part of American Express to drive growth and innovation. This team supports technology engineering, architecture, and infrastructure, providing 24x7 support. They also manage product for core enterprise platforms, technology risk, information security, enterprise data governance, digital product and design, and enterprise AI platforms. As a Digital Product Management Intern, you will contribute to product and platform initiatives that shape customer and colleague experiences. Product Management operates at the intersection of business, technology, data, design, delivery, and customer experience.

Key Responsibilities

• Partner with Product Managers, Engineers, Designers, Data Analysts, Architects, and business stakeholders to support product strategy, discovery, roadmap planning, and product decision-making.
• Frame customer or colleague problems, define opportunities, develop hypotheses, and document product requirements, user stories, acceptance criteria, and solution concepts.
• Conduct customer discovery, stakeholder engagement, user research, usability testing, and synthesize qualitative and quantitative insights to inform product decisions.
• Support prioritization by evaluating customer value, business value, technical feasibility, risk, effort, and evidence from product, customer, operational, and business data.
• Define product outcomes, KPIs, success measures, dashboards, launch measurement, and post-launch learning plans in partnership with product and analytics teams.
• Analyze customer, product, operational, and business data to identify trends, insights, opportunities, and recommendations.
• Collaborate across product, engineering, design, analytics, risk, security, operations, finance, and business teams to explore product concepts, prototypes, APIs, platform capabilities, roadmap tradeoffs, and implementation considerations.
• Evaluate how AI or automation could improve a customer journey, colleague experience, internal product, analytics practice, documentation workflow, or team process while applying responsible AI and human-in-the-loop practices.

Qualifications

• Currently enrolled in a full-time Master’s degree program in Business, Information Systems, Computer Science, Engineering, Business Analytics, Product Management, Economics, or another relevant field.
• Demonstrated interest in technology, product management, digital products, customer experience, AI-enabled products, data-informed decision-making, or enterprise platform concepts.
• Strong analytical and problem-solving skills.
• Strong written and verbal communication skills.
• Ability to collaborate effectively within cross-functional teams.
• Experience through coursework, projects, internships, research, student organizations, or extracurricular activities that demonstrate leadership, organization, customer focus, product-oriented thinking, data literacy, or technical fluency.

Preferred Qualifications

• Master’s degree candidates with an expected graduation date between December 2027 and June 2028.
• Interest in product management, technology strategy, digital products, customer experience, payments, data analytics, AI, or emerging technologies.
• Familiarity with Agile, Lean, Scrum, Kanban, product roadmaps, user stories, backlog prioritization, sprint planning, demos, retrospectives, prioritization discussions, risk awareness, or delivery metrics.
• Exposure to customer research, design thinking, user-centered design, usability testing, journey mapping, product experimentation, launch measurement, post-launch learning, or accessibility practices.
• Familiarity with technical product concepts, APIs, platform products, data flows, system integrations, SDLC practices, implementation considerations, change management, or release management.
• Experience using customer insights, dashboards, KPIs, experimentation, product metrics, operational insights, or quantitative and qualitative evidence to support evidence-based product decisions.
• Interest in AI-enabled product management practices, including generative AI, intelligent automation, AI-assisted discovery or analysis, product analytics, responsible AI usage, and human-in-the-loop validation.
• Experience using productivity, collaboration, analytics, design, product management, or project management tools such as Jira, Confluence, Figma, Miro, Excel, PowerPoint, Tableau, Power BI, or similar platforms.
• Demonstrated curiosity, ownership, resilience, learning agility, customer focus, technical fluency, data literacy, and passion for building technology products.

Candidate Value Proposition

Product Management Interns gain hands-on experience working on technology initiatives, learning from experienced leaders. This internship offers exposure to product strategy, customer experience, technology delivery, Agile execution, AI-enabled delivery practices, data-informed decision-making, and modern enterprise product management. You’ll build a professional network, develop practical product and delivery skills, and learn how American Express creates customer and colleague experiences.

About Us

American Express has a 175-year history of innovation and shared values. The company operates with a strong risk mindset, upholding its brand promise of trust, security, and service. Team Amex offers support for well-being, learning new skills, leadership development, and career growth.

About The Team

Benefits support holistic well-being, including physical, financial, and mental health, with flexible work arrangements.

• Competitive base salaries
• Flexible work arrangements and schedules with hybrid and virtual options with Amex Flex
• Free access to global on-site wellness centers (depending on location)
• Free and confidential counselling support through our Healthy Minds program
• Career development and training opportunities