AI Product Innovation Intern

T-Mobile is synonymous with innovationand you could be part of the team that disrupted an entire industry! We reinvented customer service brought real 5G to the nation and now were shaping the future of technology in wireless and beyond. Our work is as exciting as it is rewarding so consider the career opportunity below as your invitation to grow with us make big things happen with us above all #BEYOU with us. Together we wont stop!

Get hands-on experience trainingand a leg up on a bright future.

What its Like

Join T-Mobiles Data & AI Commercialization team as we build the AI services. Youll be part of a fast-paced entrepreneurial team bringing breakthrough AI innovations from concept to market. Working directly with Innovation Product Managers and Product Marketing leads youll help shape customer experiences This is a rare opportunity to work on future thinking strategic initiatives during critical development and launch phases while learning from leaders in T-Mobiles AI teams

What Youll Do

As our AI Product Innovation Intern youll support the research and development of AI services during a pivotal growth phase. Youll work within our Experience & Activation teams to help manage engagement programs synthesize user/business feedback into actionable insights and support go-to-market readiness activities. Your work will directly influence product experiences feature prioritization and customer adoption strategies. Youll collaborate with cross-functional teams including Product Management UX Design Marketing IT & Engineering and Analytics to bring innovative AI capabilities.

Key Responsibilities

Customer Program Management: Assist in managing user programs and pilot initiatives including participant communications feedback collection and success metrics tracking across various program phases
Customer Insights & Research: Conduct user research synthesize customer feedback create insight reports and help identify product improvement opportunities to enhance AI service experiences
Product Marketing Support: Support creation of product positioning materials help document user journeys and activation flows and contribute to enablement content for various channels
Analytics & Reporting: Track program KPIs create dashboards to monitor adoption and quality metrics and support regular reporting on product performance and end user.

What it Takes

Education & Experience:
Currently pursuing Masters degree (MS) PhD or MBA in Computer Science Electrical Engineering Data Science Physics or related technical/core sciences
MBA candidates must have undergraduate degree or significant experience in technical field (Computer Science Engineering Mathematics Physics or related disciplines)
Expected graduation December 2026 or later
Minimum GPA of 3.0 preferred

Preferred Qualifications:
Strong interest in AI/ML technologies conversational interfaces or emerging tech applications
Technical background with understanding of AI/ML concepts algorithms or system architecture
Exposure to product management user research or product marketing (through coursework projects or previous internships)
Strong analytical and quantitative skills with ability to synthesize technical and customer data
Excellent written and verbal communication skills with ability to translate technical concepts for non-technical audiences
Familiarity with Agile methodologies and product development processes
Experience with collaboration and analytics tools (JIRA Confluence Tableau Python R or similar platforms is a plus)
Previous internship or work experience in product engineering or technical roles preferred

Key Attributes:
Customer-obsessed mindset with strong empathy for user needs balanced with technical rigor
Ability to bridge technical and business perspectives
Ability to work cross-functionally with engineering product and marketing teams
Detail-oriented with strong project management and organizational skills
Comfortable with ambiguity confidentiality and fast-paced environments
Entrepreneurial spirit and passion for innovation
Interest in telecommunications AI services network technologies or emerging technology products

• At least 18 years of age
• Legally authorized to work in the United States
• High School Diploma or GED
• Candidates must be currently enrolled in a degree program and have at least one semester remaining following the internship

Employees of T-Mobile or Metro by T-Mobile are ineligible for internships

Employer does not sponsor work visas for this position. Note that this also applies to individuals who are students in F-1 status who desire sponsorship after they complete their education.

Relocation may be provided to program participants who reside more than 50 miles from the internship location.

Intern wages range from $20/hour to $40/hour. The successful candidates actual pay will be based on experience/location.

Never stop growing!
As part of the T-Mobile team you know the Un-carrier doesnt have a corporate ladderits more like a jungle gym of possibilities! We love helping our employees grow in their careers because its that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity youre living our values while investing in your career growthand we applaud it. Youre unstoppable!

T-Mobile USA Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age race ethnicity color religion creed sex sexual orientation gender identity or expression national origin religious affiliation marital status citizenship status veteran status the presence of any physical or mental disability or any other status or characteristic protected by federal state or local law. Discrimination retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.

Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process please let us know by emailing or calling 1-. Please note this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.