T-Mobile

Principal AI Product Manager, Technical

Bellevue, WA Frisco, TX
USD 139k - 252k
TensorFlow PyTorch Azure SQL Python
Description

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 intuitive and impactful user experiences. 

Cross-Functional Collaboration and Leadership

  • Act as the primary liaison between technical teams (data & AI engineering, IT etc.) and non-technical stakeholders (finance, procurement, supply chain). 
  • Lead Agile ceremonies for AI/ML projects, ensuring alignment across teams and managing dependencies. 
  • Collaborate with external partners, vendors, and research organizations as needed to accelerate product development. 

Education:

  • Bachelor’s Degree in Computer Science, Data Science, Engineering, or a related technical field. (Required) 
  • Master's Degree/Advanced degrees or equivalent industry experience preferred.

Work Experience:

  • 10+ years of experience in technical product management, with a focus on AI/ML or data-driven products in Agile environments. 
  • 8+ years of hands-on experience with AI/ML technologies, including deploying and maintaining production-grade models in enterprise environments.
  • Proven track record of leading cross-functional teams to deliver scalable AI/ML solutions with measurable business impact. 

Knowledge, Skills and Abilities:

  • AI/ML Expertise: Deep understanding of AI/ML Development lifecycle conceptsThe product Manager should be able to understand the concepts of pipelines, and technologies such as LLMs, RAG pipelines, LLM Finetuning, Prompt EngineeringThe product manager should also be familiar with tools and technologies such as TensorFlow, PyTorch, Scikit-learn, MLOps frameworks, and Azure & Databricks to be able to guide technical requirement discussions in the knowledge domain.
  • Product Lifecycle Knowledge: Familiarity with the unique challenges of AI/ML product development, including data preparation, model training, evaluation, and deployment. Familiarity with Software Development Lifecycle and experience managing software products that include AL/ML components.
  • Analytical Skills: Proficiency in analyzing and interpreting data, including using SQL, Python, or visualization tools like PowerBI. 
  • Leadership: Proven ability to lead cross-functional teams, manage priorities, and drive execution in complex technical environments. 
  • Communication: Exceptional ability to translate complex AI/ML concepts into business value propositions for diverse audiences. 
     

Licenses and Certifications:

  • Certified Scrum Product Owner (CSPO) or Certified Scrum Master (CSM)
  • Reforge or similar product management certification & training (highly preferred)   
  • Technical certifications in AI/ML (e.g., Associate Azure AI Engineer, any Databricks certifications) 

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

Travel:
Travel Required (Yes/No): If in Frisco, TX office, will travel once quarterly to Bellevue, WA office.

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

Base Pay Range: $139,700 - $252,000

Corporate Bonus Target: 20%

The pay range above is the general base pay range for a successful candidate in the role. The successful 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.

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. Most Corporate employees are eligible for a year-end bonus based on company and/or individual 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. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ302180&paradox=1

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, 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 ApplicantAccommodation@t-mobile.com 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.

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