Product Management Intern Job at T-Mobile (Overland Park)

Product Management Intern

T-Mobile

Location:
United States , Overland Park

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

20.00 - 40.00 USD / Hour

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Job Description:

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. We are seeking a highly motivated and analytically driven Device Portfolio Intern to join T-Mobile’s portfolio sourcing and partnerships team. This intern will support the evaluation of new device, technology, and partnership opportunities by developing business cases, financial models enhanced with Artificial Intelligence (AI), and contributing to deal negotiation strategy.

Job Responsibility:

Support the evaluation of new product, technology, and partnership opportunities by developing clear, data-driven business cases
Build financial models incorporating AI-driven forecasting, scenario planning, and sensitivity analysis
Assist in preparing negotiation materials, including financial justification, partner evaluations, and comparative deal structures
Develop and refine internal AI-powered tools that support sourcing, financial modeling, and decision-making workflows
Partner with finance, supply chain, strategy, engineering, and product teams to validate assumptions and collect necessary inputs
Analyze device performance, pricing trends, partner metrics, and cost drivers using both traditional and AI-accelerated methods

Requirements:

Currently pursuing a Master’s degree in Business (with an emphasis in Finance, Marketing or Analytics) Economics, or a related field
Strong interest in financial analysis, AI applications, and strategic sourcing
Proficiency in analytical tools such as Excel, Tableau, Python, or AI modeling platforms
familiarity with machine learning concepts preferred
Excellent communication, structured thinking, and problem-solving skills
Ability to synthesize qualitative and quantitative data into clear recommendations
Highly organized, detail-oriented, and able to manage multiple priorities
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

Nice to have:

familiarity with machine learning concepts

What we offer:

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

Additional Information:

Job Posted:
January 03, 2026

Employment Type:

Fulltime

Work Type:

On-site work

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