T-Mobile Logo

T-Mobile

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

Posted 7 Days Ago
In-Office
Frisco, TX
131K-283K Annually
Senior level
In-Office
Frisco, TX
131K-283K Annually
Senior level
Own the end-to-end enterprise AI training and adoption product lifecycle, including strategy, roadmap, training content, vendor coordination, product releases, and the AI Champion Network. Partner with technical teams, business leaders, vendors, and subject matter experts to drive safe AI adoption. Analyze usage, completion, and employee feedback data to prioritize improvements and measure outcomes across a distributed workforce.
The summary above was generated by AI

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!

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¶dox=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.

Never stop growing! As part of the T-Mobile team, you know the Un-carrier doesn’t have a corporate ladder–it’s more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it’s that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you’re living our values while investing in your career growth–and we applaud it. You’re unstoppable! T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, genetic information, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated. Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing [email protected] or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

Similar Jobs at T-Mobile

17 Minutes Ago
In-Office
84K-173K Annually
Senior level
84K-173K Annually
Senior level
Other • Utilities
Leads cross-functional workforce management programs involving reporting, data integration, workflow automation, and business intelligence. Translates business requirements into technical solutions using tools such as Power BI, SharePoint, Verint, and enterprise data platforms. Analyzes operational data, manages risks, dependencies, vendors, budgets, and adoption, and improves workforce planning, reporting accuracy, automation, and decision-making.
Top Skills: Ai-Enabled ToolsAirtableAPIsDatabricksMicrosoft ProjectPower AppsPower AutomatePower BIScriptingSharepointSnowflakeSQLVBAVerintWorkfront
16 Hours Ago
In-Office
76K-151K Annually
Junior
76K-151K Annually
Junior
Other • Utilities
Analyzes credit risk using statistical segmentation, predictive modeling, and large-scale data analysis. Develops and evaluates credit, collections, and fraud strategies; works with credit bureau and alternative data; partners on strategy deployment and tracking; and communicates actionable recommendations. Uses SQL, SAS, R, Python, Excel/VBA, and visualization tools to support reporting, ad hoc analysis, and credit policy improvements while meeting project deadlines.
Top Skills: Decision TreesExcelExcel VbaK-Means ClusteringMatplotlibPandasPower BIPowerPointPythonRRegression ModelsSASSQLTableauWord
Yesterday
In-Office
142K-295K Annually
Senior level
142K-295K Annually
Senior level
Other • Utilities
Leads forward deployment of agentic AI systems within a business unit. Designs and delivers production LLM solutions, including integrations, RAG pipelines, prompt orchestration, multi-agent workflows, data engineering, and performance experiments. Measures ROI, improves data quality, mentors engineers, guides technical delivery, and communicates with business stakeholders. The role requires strong Python, cloud-native deployment, enterprise integrations, responsible AI, and data security expertise.
Top Skills: Agent OrchestrationAWSAzureCi/CdDockerEtl/EltGCPGoJavaKubernetesLarge Language Models (Llms)Prompt EngineeringPythonRetrieval-Augmented Generation (Rag)SQLTypescript

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account