Principal AI Product Manager, Technical

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This is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in either Seattle, Washington or Frisco, Texas areas.

Job Overview

The Principal AI Technical Product Manager is a visionary product leader, customer evangelist, and execution driver responsible for bringing T-Mobile's most ambitious AI innovations from concept to commercial success. This role owns end-to-end product strategy and delivery for breakthrough AI initiatives, working in a fast-paced, entrepreneurial environment within T-Mobile's AI Commercialization team. The Principal AI Technical Product Manager combines deep customer empathy, strategic thinking, and hands‑on execution to deliver AI products that create new revenue streams and differentiated customer experiences. This role requires a unique blend of startup agility and enterprise scale capabilities, working closely with cross-functional teams to validate, build, and launch AI‑powered solutions that push the boundaries of what’s possible in telecommunications.

This role leads the end-to-end management of complex technical products to meet specific business goals and customer needs. It involves defining product vision, strategy, and roadmaps while collaborating with cross-functional teams to deliver technical solutions. The role requires analyzing market data, customer insights, and industry trends to prioritize product features and innovations. Success is measured by product performance, customer satisfaction, and alignment with business objectives. The work impacts organizational growth and enhances customer experiences through effective product delivery and technical leadership.

No day is the same for the Product Manager, Technical. Day to day activities or responsibilities include: conducting market research; writing detailed features or user stories; determining specifications; defining long‑term strategy of the product; creating the product road map; driving technical delivery end to end; defining scope for releases/product increments; partnering with development, project/program management, marketing, and other key stakeholders to define release schedule; and support/drive go‑to‑market activities as needed.

Vision & Strategy for AI Products

• Owns strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities serving multiple customer journeys, business units, or platforms.
• Accountable for measurable business outcomes including revenue growth, cost reduction, adoption, retention, automation impact, and customer experience improvement.
• Drives multi-year product investment strategy, including business cases, funding requests, and prioritization of AI initiatives across a portfolio of opportunities.
• Own the product lifecycle for complex technical solutions, ensuring alignment with business objectives and customer needs
• Conducts deep customer research and market analysis to identify breakthrough AI opportunities
• Defines success metrics and tracks progress against ambitious growth targets
• Anticipates AI trends and competitive threats, incorporating insights into product strategy
• Conducts analysis of quantitative and qualitative data to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact. May work with data scientists to answer complex questions or identify meaningful insights from data.
• Leverages rapid hypothesis driven testing methodologies and experiments (i.e. paper prototype, A/B testing, etc.) to inform direction, prioritize investment.
• Works with stakeholders and follows enterprise process to secure and maintain product funding.
• Anticipates industry trends, direction, innovation, analyses potential impacts or opportunities to customer / product, and incorporates analyses into product process.
• Communicates, influences, and sells ideas at SVP/EVP/C-Level and below. This includes regularly delivering product presentations.
• Drives specific ad hoc analysis and presents information to SVP/EVP/C level and below on request.
• Owns product feature set or technical improvements to improve customer experience.
• Leads discussions with external third parties to assess partnerships and licensing opportunities.
• Represents the company externally with strategic partners, industry groups, and executive customers on AI innovation strategy and product direction.

Customer Evangelist

• Leads customer discovery and validation activities for new AI products
• Writes detailed product requirements, user stories, and acceptance criteria for AI-powered features
• Designs and executes rapid prototyping and MVP development cycles
• Conducts user testing and iteration based on customer feedback
• Ensures AI products deliver measurable customer value and exceptional user experience
• Advocates for customer needs throughout the development process
• Leverages customer insights for product vision, strategy, roadmap, priorities.
• Create, manage, foster an active VOC feed for themselves and team.
• Actively looks for opportunities to delight or meet customer’s unmet needs.
• Evangelizes and advocates for the customer both internally (IC through C level) and externally, perpeuting the customer-first mindset.
• Creates an environment and culture where the team is immersed in customer-first mindset.
• Tests ideas with real customers to ensure that the product deliver the desired benefit.

Product Execution & Technical Delivery

• Collaborates with Technical Architects to ensure AI solutions are technically feasible and scalable
• Partners with UX/UI designers to create intuitive and engaging AI interactions
• Works with engineering teams (both internal and matrixed) to deliver products on time and within scope
• Coordinates with GTM and commercialization teams to develop launch strategies
• Drives resolution of technical and business challenges that arise during development
• Translates product/platform strategy by writing detailed features and user stories consumable for Dev teams for the highest level complexity products with multiple transactions and touchpoints across many teams. This work may include creation of prototypes.
• Collaborates with PM and Dev leaders to design, architect and assemble effective Agile delivery teams in the Agile Release Train and Agile Teams.
• Scopes and ensures alignment on the prioritization of activities based on business and customer impact.
• Requires deep product and technical fluency in applied AI, including LLM-based experiences, model selection, retrieval-augmented generation (RAG), experimentation, evaluation frameworks, and production AI constraints.
• Defines the product strategy for foundational AI platform capabilities, tooling, and reusable services that accelerate delivery across multiple teams.
• Collaborates with Architecture and Dev teams to ensure technical debt and long term technical investment is factored into roadmap.
• Ensures existing production defects are factored into regular backlog prioritization for resolution based on priority
• In scaled teams, holds regular meetings and coordination activities with other PM’s and Product Owners (if applicable) to ensure parallel work is in sync and dependencies are known.
• Generates and maintains dashboards and reports that track product health and success metrics, technical KPI’s.
• Runs beta and pilot programs with early-stage products and samples.
• Collaborates with advertising and public relations to promote product.
• Supports sales, marketing, and other stakeholder teams with product or technical knowledge and additional documentation.
• Anticipates and communinctes technical challenges to stakeholders and makes educated trade‑off decisions with the team.
• Accountable for product quality and performance in production environment. Accountable for product and Dev team response in event of critical or high impacting defect , including communications to stakeholders at all levels.
• Manages development of adoption tools and training materials. Identify execution, operational, organizational issues that impede product success. Drive improvement plan to change or resolve issues (within sphere of influence).
• Support and enable core agile practices and tenants: efficient just-in-time flow; lean practices; elimination of waste; DevOps CICD.

Relationship & People, Professional Development

• Builds strong relationships with Network, IT, Business, Marketing and other organizations
• Acts as a force multiplier across the organization by mentoring product managers and establishing best practices for AI product discovery, experimentation, and delivery.
• Negotiates priorities and resources across multiple stakeholder groups
• Communicates product roadmaps and launches to internal and external audiences
• Mentors junior product managers and shares innovation best practices
• Represents T-Mobile at industry events and innovation forums
• Collaborates and develops positive working relationships with many technical and non-technical teams, including sales, commercial accounting, marketing, legal, go-to-market, finance, Dev, Architecture, Engineering. Works with outside partners and other third parties.

Required Education

• Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience.

Required Work Experience

• 8+ years’ experience in hands on technical role writing production code, solution engineering, or technical archtecture in large scale company / appplication / product environment.
• More than 10 years relevant Product Management experience in an agile software product development environment.

#LI-Corporate

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

Travel

Travel Required (Yes/No):

DOT Regulated

DOT Regulated Position (Yes/No): No

Safety Sensitive Position

Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity: $167,640 - $302,400National Base Pay Range: $139,700 - $252,000

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results. The base pay range reflects the compensation component of this opportunity. The candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, click here.

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. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee’s eligible earnings in the prior year.