Product Manager

About the role

The Product Manager is a visionary, strategist, customer evangelist, respected leader of execution, and professional relationship builder all rolled into a single dynamic package. Ultimately accountable for T-Mobile's internal and external products, platforms, services, and experiences, the PM owns the full arc from the first customer insight to the last business metric.

Responsibilities

• Product Learning & Growth

• Owns the customer problem end to end. Accountable not just for what ships, but for whether it solved the problem it was designed to solve.
• Treats every launch as a learning event. Defines success metrics before shipping, captures post-launch signals, and acts on what the data shows — iterating until outcomes are met.
• Maintains a current understanding of emerging technology trends including AI, automation, and platform shifts and evaluates how they create opportunity or risk on the product roadmap.

• Customer Problem Understanding

• Dedicates consistent time to customers through direct research, field visits, and behavioral data to build deep empathy and maintain a current, evidence-based view of their needs and unmet problems.
• Creates, manages, and sustains an active VOC feed that combines qualitative insight and quantitative behavioral signals. Customer signal drives prioritization, not opinions or assumptions.
• Actively looks for patterns in customer frustration, workarounds, and unmet needs. Surfaces these as product opportunities and validates them before investing.
• Tests ideas with real customers at every stage of the process. Does not call a feature done until post-launch data confirms the customer behavior or outcome target was achieved.
• Evangelizes and advocates for the customer both internally and externally, perpetuating a customer-first mindset across the team and stakeholder community.

• Product Strategy & Vision

• Owns and communicates a clear product vision and roadmap grounded in customer problems and business outcomes. Every roadmap item maps to a measurable business or customer result; items without a connected metric do not enter the backlog.
• Defines outcome-based product goals (OKRs, KPIs) from the outset and revisits them regularly. Success is defined by impact moved, not features shipped.
• Drives outcome-first prioritization: no initiative advances without a hypothesis tied to a measurable metric, a defined success threshold, and a post-launch review plan.
• Recommends product positioning strategies to improve customer experience and drive growth. Works with external third parties to assess partnerships and licensing opportunities.
• Collaborates with Architecture and engineering teams to ensure technical debt and long-term technical investment are factored into the roadmap.

• Stakeholder Alignment

• Builds and maintains strong working relationships across engineering, design, data science, sales, marketing, legal, go-to-market, and finance. Aligns functions around shared outcomes to enable fast, focused execution.
• Works with stakeholders and follows enterprise process to secure and maintain product funding.
• PARTNERS WITH BUSINESS AND INTERNAL STAKEHOLDERS TO SURFACE OPPORTUNITY AREAS, ALIGN ON PRIORITIES, AND VALIDATE DIRECTION BEFORE COMMITTING RESOURCES.
• Collaborates with stakeholders and execution teams to create and communicate release schedules. SUPPORTS SALES, MARKETING, AND ADJACENT TEAMS WITH THE PRODUCT KNOWLEDGE THEY NEED TO BE EFFECTIVE.
• IDENTIFIES EXECUTION, OPERATIONAL, AND ORGANIZATIONAL ISSUES THAT IMPEDE PRODUCT SUCCESS AND DRIVES AN IMPROVEMENT PLAN TO RESOLVE OR ESCALATE.

• Communication

• Communicates clearly and with conviction up to Director level. Grounds every recommendation in data and outcome impact. Delivers product presentations that lead with business results, not feature lists.
• Communicates technical challenges to stakeholders and makes educated trade-off decisions with transparency and clear reasoning.
• Provides ad hoc analysis and insights to leadership on request. Keeps stakeholders informed proactively, not reactively.

• Data & Financial Acumen

• Conducts analysis of quantitative and qualitative data — independently and in partnership with data science — to identify opportunities, diagnose root causes, and size impact.
• Defines and monitors the metrics that matter before, during, and after launch. Owns the post-launch measurement loop: tracks leading and lagging indicators, identifies gaps between expected and actual impact, and drives corrective action.
• Uses data to tell a clear, honest story about product performance.

• Ownership & Autonomy

• Owns the product end to end — not just delivery, but outcomes. Accountable for results from initial discovery through post-launch metric movement.
• Owns and manages the product backlog with business and technology partners. Backlog grooming is outcome-led, not feature-led. Scope at this level typically serves 1–4 Agile/Scrum/Sprint teams.
• Accountable for product quality and performance in production. Leads the team response in the event of a critical or high-impact defect, including communications to stakeholders at all levels.
• Translates product strategy into detailed capabilities, features, and acceptance criteria consumable by development teams.

Requirements

• Education and Work Experience:

• Bachelor's Degree plus 5 years of related work experience, or an advanced degree with 3 years of related experience. (Required)
• 4–7 years of relevant Product Management experience in an agile software product development environment. (Required)

• Knowledge, Skills and Abilities:

• Required:
• Agile Methodology
• Backlog Management
• Business Acumen
• Data Analysis
• Market Research
• Product Management
• Stakeholder Management
• Strategic Thinking
• Technical Writing
• User Experience (UX)
• Preferred:
• AI Tooling
• Collaborative Leadership
• Product Improvements

• Experience & AI Tools:

• Applies AI tools to accelerate and improve product work including research synthesis, data analysis, documentation, prototyping, and backlog management — without sacrificing quality or judgment.
• Stays current on the evolving AI tooling landscape. Proactively identifies where AI can reduce friction, surface insight, or unlock new value for the team and for customers.

Qualifications

• At least 18 years of age
• Legally authorized to work in the United States

Benefits

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, click here.

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.

T-Mobile maintains a drug-free workplace.