Think Beyond The Label Jobs

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 position is an individual contributor role that will work on a hybrid schedule of at least three days in the Bellevue, WA or Frisco, TX office. Why Join Us? As a Principal AI Product Manager, Technical, in the AI Center of Excellence, you will lead transformative efforts to design and deliver cutting-edge AI/ML solutions addressing complex challenges in Finance, Procurement, and Supply Chain (FP&SC). This role combines strategic leadership, technical expertise, and business acumen to define and execute a vision that aligns AI innovation with organizational goals, ensuring measurable business value and impact. Job Overview: The Principal AI Product Manager, Technical role combines visionary leadership, deep technical expertise, and strategic thinking to design, build, and deliver AI and ML-driven products with measurable business value and customer impact. Operating at the intersection of technology, data science, and business needs, this role requires a solid understanding of AI/ML technologies, including models, algorithms, pipelines, and MLOps, to effectively guide and manage the end-to-end lifecycle of AI/ML products. The ideal candidate has hands-on experience in conceptualizing, developing, and scaling production-grade AI/ML solutions. They excel at aligning technical innovation with business objectives, crafting strategies that maximize the impact of AI/ML initiatives and driving their successful execution in collaboration with cross-functional teams. Job Responsibilities: Vision, Strategy, and Analysis Own the end-to-end product vision and strategy for AI/ML products or features, ensuring alignment with organizational goals in Finance, Procurement, and Supply Chain (FP&SC). Collaborate with stakeholders to identify business challenges and opportunities that can be addressed using AI/ML solutions. Conduct analysis of quantitative and qualitative data to define product success metrics, including model performance, business impact, and ROI. Leverage a strong understanding of AI/ML technologies (e.g., supervised/unsupervised learning, neural networks, LLMs, RAG pipelines etc.) to identify opportunities for innovation. Stay informed on emerging AI/ML trends and assess their relevance and application to the product roadmap via experimentation & POCs. AI/ML Product Development and Lifecycle Management Guide the product development lifecycle, from data exploration and product prototyping to production deployment and ongoing optimization. Work closely with the product squad (ML architects, ML engineers, ML engineers, full stack engineers, program management, MLOps etc.) teams to deploy & manage software, pipelines, ensuring model reproducibility, monitoring, and version control. Develop and prioritize product backlogs with clear user stories, acceptance criteria, and technical details tailored for AI/ML development teams. Establish processes to measure and improve the quality, accuracy, and reliability of AI/ML models in production environments. Collaborate with architecture teams to ensure technical scalability and proper management of technical debt. Impact Measurement and Success Metrics Partner with business teams to understand user needs and translate them into product requirements. Actively engage with end-users and stakeholders to gather feedback and refine product features. Advocate for user-centric design and ensure AI/ML solutions deliver