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Design Interactive, Inc. is a leader in human performance-enhancing technology, serving industries ... AI), and data-driven training systems to improve decision-making, performance, and safety. Our ...

D. students to have an internship in our fast moving team. You will have the opportunity to work on ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...

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D. students to have an internship in our fast moving team. You will have the opportunity to work on ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...

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D. students to have an internship in our fast moving team. You will have the opportunity to work on ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...

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D. students to have an internship in our fast moving team. You will have the opportunity to work on ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...

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D. students to have an internship in our fast moving team. You will have the opportunity to work on ... The Content AI team at Instacart works alongside world-class engineers, data scientists, and ...

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Internship In Ai information

What is the difference between Internship In Ai vs Data Analyst?

AspectInternship In AiData Analyst
Required CredentialsBasic knowledge of AI concepts, programming skills (Python, R)Statistics, data management, programming skills (SQL, Excel)
Work EnvironmentTech companies, research labs, startupsBusiness firms, consulting agencies, finance, healthcare
Employer & Industry UsageUsed for entry-level training in AI-focused rolesUsed for analyzing data to inform business decisions

Internship In Ai typically involves gaining hands-on experience in artificial intelligence projects, focusing on machine learning, neural networks, and programming. Data Analysts focus on interpreting data, creating reports, and supporting decision-making. While both roles require analytical skills and some programming knowledge, internships in AI are more specialized towards AI technologies, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of In Ai jobs in Florida?

The most popular types of In Ai jobs in Florida are:

What cities in Florida are hiring for Internship In Ai jobs?

Cities in Florida with the most Internship In Ai job openings:

Campus Graduate Masters Summer Internship Program - 2027 Digital Product Management, Enterprise T...

American Express

Sunrise, FL • On-site

Full-time

Posted 3 days ago

New


Key responsibilities

  • Help frame customer and colleague problems and translate insights into product opportunities.

  • Support prioritization, evaluate potential solutions, and collaborate with cross-functional partners to build technology products.

  • Contribute to product and platform initiatives that create measurable value.


American Express rating

8.6

Company rating: 8.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

25th of 154 rated financial services


Job description

Business Unit / Role Specific Info 

The Enterprise Technology Services organization partners with every part of the American Express business to power the company's growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company's technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.

At American Express, we empower future product leaders to learn, innovate, and make an impact from day one. As Digital Product Management Intern in Enterprise Technology Services, you'll contribute to product and platform initiatives that help shape seamless customer and colleague experiences. 

Product Management sits at the intersection of business, technology, data, design, delivery, and customer experience. In this role, you will help frame customer and colleague problems, translate insights into product opportunities, define success measures, support prioritization, evaluate potential solutions, and collaborate with cross-functional partners to build technology products that create measurable value. 

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. 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.

Minimum 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 with the ability to interpret data, evaluate information, identify patterns, form hypotheses, and develop clear recommendations. 
  • Strong written and verbal communication skills with the ability to explain ideas, product decisions, insights, risks, and recommendations clearly to technical and non-technical audiences. 
  • Ability to collaborate effectively within cross-functional teams and build strong working relationships with partners and stakeholders. 
  • 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 that create meaningful customer and business value. 
     

Our team reviews applications on a rolling basis. We appreciate your patience while we consider your application and will contact qualified candidates regarding next steps. 
 

Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
 

Candidate Value Proposition 

Backed by Amex, Product Management Interns gain hands-on experience working on meaningful technology initiatives while learning from experienced product leaders, engineers, designers, delivery leads, and business partners. 

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 strong professional network, develop practical product and delivery skills, and learn how American Express creates exceptional customer and colleague experiences responsibly and at scale. 

Your contributions matter. You'll have the opportunity to help shape products, improve delivery practices, influence experiences, and learn how technology enables the future of payments. 

Responsibilities & What Type of Work to Expect 

  • Partner with Product Managers, Engineers, Designers, Data Analysts, Architects, and business stakeholders to support product strategy, discovery, roadmap planning, and product decision-making. 
  • Help 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 synthesis of 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. 
  • Help 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 that improve customer or colleague experiences. 
  • 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. 

What American Express employees say

Pay

Benefits

Hours and flexibility

Workplace

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