Product Manager

T-Mobile•Bellevue, WA

11d•$100,100 - $180,600

About The Position

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. This means identifying the intersection of customer problems and unmet needs, understanding technical feasibility and business objectives, leading a cross-functional team to deliver measurable outcomes, and iterating until those outcomes are achieved. Shipping a feature is not the finish line — moving the metric is. Day-to-day activities include conducting market and customer research; defining outcome-based product goals tied to measurable KPIs; determining specifications and acceptance criteria; defining long-term product strategy; creating and maintaining the product roadmap; defining scope for releases; partnering with engineering, design, data science, and key stakeholders; driving go-to-market activities; monitoring post-launch metrics; and iterating until business outcomes are achieved.

Requirements

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)
Agile Methodology
Backlog Management
Business Acumen
Data Analysis
Market Research
Product Management
Stakeholder Management
Strategic Thinking
Technical Writing
User Experience (UX)
At least 18 years of age
Legally authorized to work in the United States

Nice To Haves

AI Tooling
Collaborative Leadership
Product Improvements

Responsibilities

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.
Dedicatess 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.
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.
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.
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.
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.
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.
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.