Senior Product Manager - Enterprise AI Adoption

T-Mobile; Frisco (TX); On-site; USD 157,000 - 283,000; Full time

Job summary

T-Mobile seeks a leader to own the end-to-end product lifecycle for enterprise AI training and adoption, driving adoption, training reach, and employee satisfaction across the organization. You will align with business goals, manage a broad stakeholder network, and coordinate with AI vendors and SMEs to deliver impactful training.

Responsibilities include developing roadmaps, planning vendor-led sessions, and measuring adoption using usage data and feedback, with a focus on scalable, safe AI

Qualifications

• 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.

Responsibilities

• 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

Skills

Agile Methodology

Backlog Management

Customer Centricity

Data Analysis

Product Management

Product Roadmap

Solution Architecture Design

Stakeholder Management

Strategic Alignment

Technical Design Documentation

Technical Writing

Education

Bachelor's Degree + 7 years experience

Advanced degree + 5 years experience

Computer Science / Engineering / IT related fields

Job description

T-Mobile seeks a leader to own the end-to-end product lifecycle for enterprise AI training and adoption, driving adoption, training reach, and employee satisfaction across the organization. You will align with business goals, manage a broad stakeholder network, and coordinate with AI vendors and SMEs to deliver impactful training.

Responsibilities include developing roadmaps, planning vendor-led sessions, and measuring adoption using usage data and feedback, with a focus on scalable, safe AI