Sr AI Technical Product Manager

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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 Sr AI Technical Product Manager is a product leader, customer evangelist, and execution driver responsible for taking T-Mobile's AI products from concept through beta, General Availability, and scale. This role owns product strategy and delivery for one or more AI products or platform capabilities, working in a fast-paced, entrepreneurial environment within T-Mobile's AI Commercialization team. The Sr AI Technical Product Manager combines customer empathy, product judgment, and hands-on technical execution with deep expertise in AI evaluation, including agentic testing and LLM-as-judge methods, so that every product meets carrier-grade standards for accuracy, latency, safety, and customer experience before and after launch.

The role works closely with cross-functional teams to validate, build, and launch AI-powered solutions that create new revenue streams and differentiated customer experiences.

This role manages the end-to-end delivery of complex technical AI products to meet specific business objectives and customer needs. It involves defining product vision, strategy, and roadmaps for an assigned product area while collaborating with cross-functional teams to deliver technical solutions. The role requires analyzing market data, customer insights, product telemetry, and evaluation results to prioritize product features, quality investments, and innovations.

Success is measured by product performance, beta-to-GA conversion, customer satisfaction, production quality and evaluation scores, and alignment with business goals. The work impacts organizational growth and enhances customer experiences through effective product delivery and technical leadership.

Vision & Strategy for AI Products Owns strategy, roadmap, and lifecycle for one or more AI products or reusable AI capabilities within an assigned product area, aligned to the broader AI portfolio strategy.

Accountable for measurable outcomes for assigned products, including adoption, retention, revenue contribution, automation impact, production quality, and customer experience improvement.

Owns the product lifecycle for complex technical solutions, ensuring alignment with business objectives and customer needs.

Defines success metrics, including quality and evaluation metrics, and tracks progress against growth and quality targets.

Conducts analysis of quantitative and qualitative data, including evaluation results and production telemetry, to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact. Works 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, offline evaluation, etc.) to inform direction and prioritize investment.

Works with stakeholders and follows enterprise process to secure and maintain product funding.

Maintains current understanding of AI and technology trends, including agentic systems, evaluation methods, and competitive moves, and assesses how…