Principal AI Product Manager, Technical

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This is NOT a remote position. T-Mobile is a hybrid work environment requiring the successful candidate be in the office three (3) days per week. This position is open to candidates in Bellevue, WA only.

Job Overview

Principal Innovation Product Manager, Technical is a visionary, strategist, analyst, customer evangelist, respected leader of business and technology execution, and professional relationship builder all rolled into a single dynamic package. Every product at T-Mobile is envisioned and created to achieve a specific business purpose or set of business results. The Product Manager, Technical is ultimately accountable, responsible, and has ownership of T-Mobile's internal and external products, platforms, services, experiences envisioned and created to achieve the specific business purpose or business results. At a high level this means identifying the intersection of customer problems/unmet needs (an opportunity), technical feasibility, business objectives, securing funding, and leading a cross-functional business and technical team, as well as key stakeholders to deliver against the opportunity.

Product Manager, Technical is the ultimate "jack-of-all-trades" leveraging deep customer empathy, strategic thinking, commercial, analytical, technical capability and knowledge, and leadership prowess to successfully deliver delightful and differentiated products that drive growth and positively impact customers lives.

No day is the same for the Product Manager, Technical. Day to day activities or responsibilities include: conducting market research; writing 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.

Job Responsibilities:

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, perpeuating 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