Sr Product Manager, Technical: Enterprise AI Training & Adoption Programs

This role is critical for managing T-Mobile's enterprise AI training and adoption program as a technical product that aligns with business objectives and employee needs within the organization. It involves owning the product lifecycle end to end, including vision, roadmap, delivery across every line of business, the AI Champion Network, and stakeholder collaboration with business leaders, AI vendors, subject matter experts, and the teams that build and run our AI platforms.

The role requires integrating employee insights, usage data, and technical feasibility to prioritize training, content, and improvements, and to keep the program current as AI tools and capabilities change. Success is measured by how many employees move from trying AI to using it in their daily work, training reach and completion, champion network activity, and employee satisfaction. The work impacts the organization by driving AI adoption, operational efficiency, and better employee and customer experiences through effective product management.

• Own the end-to-end product lifecycle for enterprise AI training and adoption, ensuring alignment with business goals and employee needs across every line of business

• Conduct market and customer research to identify opportunities and inform product strategy and roadmap development, including where each line of business stands on AI use and what it needs next

• Manage development of adoption tools and training materials, including content built around each line of business's real workflows and how to use approved AI tools safely and within T-Mobile standards

• Plan and facilitate AI training sessions across the enterprise; own the calendar for vendor-led sessions and co-deliver with subject matter experts

• Lead the AI Champion Network: recruit, equip, and coordinate the champions who carry AI practices into their teams and bring feedback back

• Collaborate with cross-functional teams including development, architecture, and stakeholders to drive technical delivery and product releases, so training is ready when new AI tools and features launch

• Analyze quantitative and qualitative data to prioritize features, assess risks, and support decision-making processes, including training completion, usage after training, and employee feedback

• Work with outside partners and other third parties, including the AI vendors that deliver training to T-Mobile teams

• Identify execution, operational, and organizational issues that impede product success, and drive an improvement plan to change or resolve them (within sphere of influence)

• Also responsible for other duties/projects as assigned by business management as needed

• Bachelor's Degree plus 7 years of related work experience OR Advanced degree with 5 years of related experience

• Acceptable areas of study include Computer Science, Engineering, IT or equivalent experience

• 6+ years experience in a hands-on technical role writing production code, solution engineering, or technical architecture in a large-scale company, application or product environment

• 7+ years of relevant Product Management experience in an agile software product development environment, with an advanced-level understanding of customer experience

• 7+ years of relevant Product Management experience in an agile software product development environment. Advanced level understanding of customer experience.

• Experience running technology training or enablement programs for a large, distributed workforce

• Experience building and leading a champion, ambassador, or community network that drives adoption of new technology

• Experience coordinating vendor-led training and co-delivering sessions with subject matter experts

• Hands-on experience with generative AI tools and the ability to explain how they work, and where they fall short, to non-technical audiences

• Experience measuring adoption with usage data rather than attendance alone

• Demonstrated curiosity and adaptability with new AI technologies and a track record of applying them to how people work

• Agile Methodology

• Backlog Management

• Customer Centricity

• Data Analysis

• Problem Solving

• Product Management

• Product Roadmap

• Solution Architecture Design

• Stakeholder Management

• Strategic Alignment

• Technical Design Documentation

• Technical Writing

• Communication

• Customer Engagement

• Influencing Skills

• Product Launch Planning

• At least 18 years of age
• Legally…