Principal AI Product & Strategy Manager, Technical

Principal AI Technical Product & Strategy Manager

The Principal AI Technical Product & Strategy 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. This roles combines customer understanding, 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.

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.

Vision & Strategy for AI Products

• Owns product vision, strategy, and roadmap for flagship AI initiatives from concept to market launch
• Conducts deep customer research and market analysis to identify breakthrough AI opportunities
• Develops compelling business cases and value propositions for new AI products
• Partners with leadership to secure funding and resources for innovation initiatives
• Defines success metrics and tracks progress against ambitious growth targets
• Anticipates AI trends and competitive threats, incorporating insights into product strategy
• Designs and drives end user product research.
• 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.
• Conducts cost-benefit / ROI / NPV analysis, to support decision making.
• 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.

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…