Talent.com
Summer 2026 AI Product Strategy Internship
Summer 2026 AI Product Strategy InternshipT-Mobile USA, Inc. • Overland Park, KS, United States
Summer 2026 AI Product Strategy Internship

Summer 2026 AI Product Strategy Internship

T-Mobile USA, Inc. • Overland Park, KS, United States
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  • [job_card.full_time]
  • [job_card.internship]
[job_card.job_description]

T-Mobile is synonymous with innovation-and you could be part of the team that disrupted an entire industry! We reinvented customer service, brought real 5G to the nation, and now we’re 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 won’t stop!

Get hands-on experience, training-and a leg up on a bright future.

Learn. Achieve. Build a Career.

T-Mobile is revolutionizing the wireless industry for millions of customers nationwide. Working here means rolling up your sleeves and redefining the status quo with a team that has your back every step of the way!

This is an 11-week paid learning experience during which you'll be able to connect and network with other interns and leaders within the company. We invite you to come innovate with mentors who will challenge you to develop meaningful skills. You'll contribute your creativity and outstanding ideas, while working alongside T-Mobile employees. We'll give you hands-on projects and the chance to create an immediate impact.

What it’s Like

Our team builds solution bundles that combine 5G ANS connectivity, edge compute, and partner applications to power real-world intelligence for robots, sensors, and vision workloads. The remit spans strategy, product design, and GTM across T-Mobile for Business, Network Engineering, and the Data & AI organization. Focus areas include AI inferencing monetization, Edge Control solution design, and near-edge infrastructure planning. The environment operates like a startup inside the enterprise with fast cycles, clear outcomes, and executive visibility.

What You’ll Do

Scope and prioritize high-value use cases at the network edge, size TAM / SAM / SOM, and translate findings into crisp product bets and pricing recommendations. Support design and delivery of Summer pilots for Edge Control and Edge AI solutions with partners in computer vision and robotics, then quantify impact and codify repeatable offers. Produce executive-ready briefs, PRDs, and KPI dashboards that guide go-to-market and investment decisions. Collaborate cross-functionally with TFB, Network, and Data & AI teams to validate performance claims and customer value.

Key Responsibilities

  • Analyze markets and customer signals to prioritize edge-ready AI inferencing and Edge Control use cases, building TAM / SAM / SOM and unit-economics models.
  • Draft lightweight PRDs, user journeys, and acceptance criteria for pilots across video intelligence, industrial IoT, and robotics.
  • Coordinate pilot execution with partners, capture results, and convert learnings into repeatable solution packages and GTM collateral.
  • Build clear, executive-ready slides and dashboards that track KPIs, SLAs, and financial outcomes for Edge Control and related offers.

What It Takes

  • Rising junior, senior, or graduate student in Business, CS, EE, Data / Analytics, or related field.
  • Coursework or experience in AI / ML and cloud / edge computing; understanding of inference vs. training and basic product economics.
  • Analytical fluency in Excel / Sheets and SQL or Python for sizing, cohorting, and KPI modeling.
  • Familiarity with 5G concepts (UPF, network slicing) and containerized workloads is a plus.
  • Strong writing and visualization skills to create PRDs and executive narratives; comfort working across product, engineering, and GTM teams.
  • 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 candidate's actual pay will be based on experience / location.

    Never stop growing!

    As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder-it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth-and we applaud it. You’re 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 ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500 . 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.

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