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Product Manager

Job in Factoria, King County, Washington, USA
Listing for: T-MOBILE USA, Inc.
Full Time position
Listed on 2026-07-06
Job specializations:
  • Business
    Business Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 100100 - 180600 USD Yearly USD 100100.00 180600.00 YEAR
Job Description & How to Apply Below
Location: Factoria

Job Overview

The Product Manager is a visionary strategist and customer evangelist who owns the full arc of T‑Mobile's internal and external products, platforms, services, and experiences.

Accountable for turning customer insight into measurable outcomes, the role leads cross‑functional teams to deliver business value, iterates based on data, and elevates product success beyond feature delivery.

Job Responsibilities 1. Product Learning & Growth
  • Owns the customer problem end to end, accountable not just for what ships but for solving the problem it was designed to address.
  • Treats every launch as a learning event: defines success metrics before shipping, captures post‑launch signals, and iterates until outcomes are met.
  • Maintains an up‑to‑date understanding of emerging technology trends, including AI and automation, and evaluates their impact on the product roadmap.
2. Customer Problem Understanding
  • Conducts direct research, field visits, and behavioral data analysis to build deep empathy and an evidence‑based view of customer needs.
  • Creates and sustains an active VOC feed combining qualitative insight and quantitative signals to drive prioritization.
  • Identifies patterns in frustration and unmet needs, surfaces them as product opportunities, and validates them before investing.
  • Tests ideas with real customers at every stage, keeping features uncompleted until post‑launch data confirms the target was achieved.
  • Advocates for the customer both internally and externally, fostering a customer‑first mindset across the organization.
3. Product Strategy & Vision
  • Owns and communicates a clear product vision and roadmap grounded in customer problems and measurable outcomes.
  • Defines outcome‑based goals (OKRs, KPIs) from the outset and revisits them regularly.
  • Leads outcome‑first prioritization: no initiative advances without a hypothesis tied to a measurable metric, a success threshold, and a post‑launch review plan.
  • Recommends product positioning strategies to improve experience and drive growth, and evaluates external partnerships and licensing opportunities.
  • Works with architecture and engineering to incorporate technical debt and long‑term investment into the roadmap.
4. Stakeholder Alignment
  • Builds strong relationships across engineering, design, data science, sales, marketing, legal, go‑to‑market, and finance to align on shared outcomes.
  • Secures and maintains product funding following enterprise processes.
  • Partners with internal stakeholders to surface opportunities, validate direction, and surface priority alignment.
  • Collaborates to create and communicate release schedules and supports sales and marketing with product knowledge.
  • Identifies execution obstacles, operational or organizational issues, and drives improvement or escalation plans.
5. Communication
  • Communicates clearly and persuasively up to Director level, grounding every recommendation in data and outcome impact.
  • Translates technical challenges to stakeholders and makes transparent trade‑off decisions.
  • Provides ad‑hoc analysis and insights to leadership on request and keeps stakeholders proactively informed.
6. Data & Financial Acumen
  • Conducts data analysis—both quantitative and qualitative—to identify opportunities, diagnose root causes, and size impact.
  • Defines and monitors metrics before, during, and after launch, owning the post‑launch measurement loop to drive corrective action.
  • Uses data to tell a clear, honest story about product performance.
7. Ownership & Autonomy
  • Owns the product end to end—product discovery through post‑launch metric movement.
  • Manages the product backlog with business and technology partners, keeping grooming outcome‑led.
  • Accounts for quality and performance in production, leading crisis response and stakeholder communication.
  • Translates strategy into detailed capabilities, features, and acceptance criteria consumable by development teams.
8. Experience & AI Tools
  • Applies AI tools—research synthesis, data analysis, documentation, prototyping, backlog management—to accelerate work while preserving quality.
  • Stays current on evolving AI tooling and proactively identifies friction‑reduction or value‑unlocking opportunities.
Education and Work…
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