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

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• Job Overview
• 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.

Job 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

Required Education and Work Experience

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.

Preferred 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

Required Knowledge, Skills and Abilities

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

Preferred Knowledge, Skills and Abilities

Communication

Customer Engagement

Influencing Skills

Product Launch Planning

• •At least 18 years of age
• •Legally authorized to work in the United States

• Travel :
• Travel Required (Yes/No):

• DOT Regulated :
• DOT Regulated Position (Yes/No): No
• Safety Sensitive Position (Yes/No): No

Total Target Cash Earnings Opportunity: $157,080 - $283,440

National Base Pay Range: $130,900 - $236,200

The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.

The base pay range reflects the compensation component of this opportunity. The candidate’s actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ376194&paradox=1

At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Corporate employees are eligible for a year-end bonus based on individual and/or company performance and which is set at a percentage of the employee’s eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.

At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile’s amazing benefits, check out www.t-mobilebenefits.com .

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