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.**

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.

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, product/program management, marketing, and other key stakeholders to define release schedule;

and support/drive go‑to‑market activities as needed.

• 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…