Digital Marketing Portfolio Intern — Product & AI Enablement

Berkeley Industrial Engineering & Operations Research; Oregon; On-site; USD 34,000 - 41,000; Full time

Benefits offered by this job

Relocation stipend

Job summary

Federal Express Corporation seeks a Summer 2027 Digital Marketing Portfolio Intern in Memphis to explore digital product development and commercialization at enterprise scale. You’ll work with product managers, designers, engineers, and business partners to apply data and customer insights to real business problems.

Ideal candidates have curiosity about AI tools, experience with product discovery, and strong data interpretation skills.

Qualifications

• Enrolled student or recent graduate with 3.0+ GPA.
• Interest in AI tools with prudent judgment on value.
• Familiar with product discovery and user research methods.
• Ability to analyze product, web, or campaign data to support recommendations.
• Experience with marketing, consulting, or product management is a plus.

Responsibilities

• Learn how digital products are defined, built, launched, and commercialized at enterprise scale.
• Contribute to a live product or commercialization workstream with cross-functional teams.
• Use data and customer insight to shape a recommendation on a real business problem.
• Present long-term solutions impacting business and customer experience.
• Participate in networking and community service events.

Skills

Data analysis

AI curiosity

Product discovery

Data interpretation

Digital marketing

Agile exposure

Time management

Multi-tasking

Communication skills

MS Word/Excel/PowerPoint

Asana usage

Education

Bachelor's degree in Business/Marketing

Tools

Excel

PowerPoint

Asana

Outlook

Job description

Federal Express Corporation seeks a Summer 2027 Digital Marketing Portfolio Intern in Memphis to explore digital product development and commercialization at enterprise scale. You’ll work with product managers, designers, engineers, and business partners to apply data and customer insights to real business problems.

Ideal candidates have curiosity about AI tools, experience with product discovery, and strong data interpretation skills.