Summer 2027 Assoc Product Manager Internship

T-Mobile USA; Overland Park (KS); On-site; USD 28,000 - 34,000; Full time

Benefits offered by this job

Paid internship

Mentors

Hands-on projects

Job summary

T-Mobile USA is offering an 11-week paid internship on the AI & Messaging team in Overland Park, KS. You will gain hands-on experience, work on real projects, and pair with mentors who challenge you to grow.

You’ll collaborate with product managers and engineers, gather requirements, analyze data, and contribute to AI-powered solutions that improve customer experiences. This role emphasizes learning, teamwork, and delivering measurable outcomes in a fast-paced environment.

Qualifications

• Pursuing a Bachelor's or Master's in a technical field with strong academic performance.
• Familiarity with Agile/Scrum, product management fundamentals, and SDLC.
• Experience gathering requirements, writing user stories, and analyzing data.
• Ability to track KPIs and support data-driven decision making.

Responsibilities

• Collaborate with product managers, engineers, and stakeholders to gather requirements.
• Document user stories, define acceptance criteria, and assist backlog prioritization.
• Support AI-powered and messaging product development through research and use-case evaluation.
• Analyze product metrics and customer feedback to suggest data-driven improvements.
• Participate in Agile ceremonies and contribute to timely delivery of features.

Skills

Agile/Scrum

Product management fundamentals

Data analysis

KPI tracking

Education

Bachelor's or Master's in CS/Software Eng/IT/MIS/Data Science

Tools

Jira

Confluence

Excel

Power BI

SQL

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.

T-Mobile didn't become a leader by following the playbook. We got here by breaking it. We're a disruptor that now plays on a higher tier, and we're still raising the bar for millions of customers nationwide. If you want to work somewhere that sets the standard instead of matching it, this is your place.

This is an 11-week paid learning experience where you'll do real work, not busywork. You'll build relationships with other interns and leaders across the company, and you'll be paired with mentors who will challenge you to grow skills that matter. We'll give you hands‑on projects with real stakes, and we expect your creativity and sharp ideas to make an immediate impact. You'll work alongside T‑Mobile employees who have your back and who still believe the best ideas can come from anyone.

What It's Like:

Our AI & Messaging team plays a key role in advancing T-Mobile's digital transformation by delivering innovative, scalable solutions that enhance customer experiences and improve operational efficiency. We work at the intersection of artificial intelligence, messaging technologies, and product engineering to develop capabilities that simplify interactions, automate processes, and create meaningful business value. Our team collaborates closely with engineering, business, and cross‑functional partners to translate customer needs into technical solutions, drive product roadmaps, and deliver measurable outcomes. We operate in a fast‑paced, evolving environment where innovation, collaboration, and continuous improvement are essential to shaping the future of connected customer experiences at T-Mobile.

What You'll Do:

As an intern on the AI & Messaging team, you'll gain hands‑on experience supporting the development and delivery of innovative AI‑powered and messaging solutions that enhance T‑Mobile's customer experience. You'll collaborate with product managers, engineers, and cross‑functional teams to gather requirements, analyze product performance, prioritize features, and support product roadmap initiatives. You'll have opportunities to explore emerging technologies, including Generative AI, conversational AI, and automation, while contributing to real‑world projects that solve business challenges. Your work will help improve product capabilities, streamline processes, and deliver meaningful customer and business outcomes, giving you valuable exposure to technical product management in a fast‑paced, innovative environment.

Key Responsibilities:

• Product Requirements & Backlog Management: Collaborate with product managers, engineers, and stakeholders to gather requirements, document user stories, define acceptance criteria, and support backlog prioritization.
• AI & Messaging Product Development: Support the design, development, and enhancement of AI‑powered and messaging solutions by researching emerging technologies, evaluating use cases, and identifying opportunities to improve customer experiences.
• Data Analysis & Performance Monitoring: Analyze product metrics, customer feedback, and operational data to identify trends, measure product effectiveness, and recommend data‑driven improvements.
• Cross‑Functional Collaboration & Agile Delivery: Participate in Agile ceremonies, sprint planning, product reviews, and stakeholder discussions to track progress, resolve blockers, and support timely delivery of product features.
• Product Documentation & Process Improvement: Develop product documentation, process flows, presentations, and status reports while identifying opportunities to streamline workflows, improve efficiency, and enhance overall product quality.

What It Takes:

• Education: Currently pursuing a Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, Management Information Systems, Data Science, Business Analytics, or a related technical field.
• Technical Skills: Familiarity with Agile/Scrum methodologies, product management fundamentals, software development lifecycles (SDLC), REST APIs, SQL, and tools such as Jira, Confluence, Excel, Power BI, or Tableau.
• AI & Emerging Technologies: Interest in or exposure to Artificial Intelligence (AI), Generative AI, Large Language Models (LLMs), conversational AI, chatbots, automation, or messaging technologies through coursework, internships, or personal projects.
• Product & Analytical Experience: Experience gathering requirements, writing user stories, analyzing data, tracking KPIs, or contributing to technical