Principal AI Product Experience Manager, Technical

At T-Mobile, we invest in YOU!  Our Total Rewards Package ensures that employees get the same big love we give our customers.  All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That’s how we’re UNSTOPPABLE for our employees! 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 or Frisco, TX only.

The Principal AI Technical Product Experience Manager owns both the experience and the product for T-Mobile's network-native AI portfolio, from concept through commercial launch and post-GA iteration. This role is the experience evangelist and expert for the team, and at the same time a technical product owner accountable for strategy, roadmap, requirements, and end-to-end delivery of AI products that run on the network rather than on a single device. It sets the interaction paradigms that determine whether a customer trusts the experience then drives the cross-functional execution, with engineering, architecture, design, and go-to-market, that turns that experience into a shipped, scaled, revenue-generating product. The role operates as a peer to product, engineering and architecture, fluent enough in the platform, its APIs, and its constraints to write consumable features and user stories, make trade-off decisions, and own outcomes in production. Success is measured by adoption and conversion, task success and satisfaction in testing and production, the revenue and growth the products generate, and the degree to which experience and platform patterns built once get reused by every product the portfolio carries. Job Responsibilities : Vision & Strategy for AI Products Owns the product experience vision, strategy, and roadmap for network-native AI products, from concept through commercial launch and post-GA iteration, with the experience as a first-class part of the product Defines the interaction and trust paradigms for network-native AI: how the assistant announces itself, asks, confirms, escalates, and hands off to a person, and translates them into product requirements engineering can build Frames the trust model of disclosure, consent, explainability, and correction, so customers understand what the AI did and can override it Translates behavior-based personas and jobs to be done into a product and experience strategy the whole organization can rally around Sets and defends both the experience bar and the product KPIs in executive review, including for accessibility products in the portfolio Anticipates AI and competitive trends, assesses impact and opportunity to customer and product, and incorporates the analysis into product strategy and the roadmap Leverages rapid, hypothesis-driven testing and experiments (prototypes, A/B tests, pilots) to inform direction and prioritize investment Communicates, influences, and sells ideas at SVP, EVP, and C-level and below, including regularly delivering product, roadmap, and prototype presentations, and leads discussions with external partners on partnership and licensing opportunities Customer & Experience Evangelist Is the experience evangelist and expert for the team: sets the customer-first mindset and champions the end-user experience internally, from individual contributor through C-level, and externally Leads customer discovery, generative and evaluative research, and validation for new AI products, and turns findings into personas, jobs-to-be-done, and prioritized problem statements the organization shares Defines the experience metrics that sit alongside the product KPIs: activation and completion rates, task success, effort, satisfaction, and where the experience breaks down Creates, manages, and