Manager, AI Solutions

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!

Responsibilities:

• Build, encourage, and mentor a high-performing team of engineers, encouraging a culture of experimentation, collaboration, and continuous learning.
• Lead the AI/ML lifecycle-from data ingestion and feature engineering to model deployment, monitoring, and iterative improvement-ensuring solutions scale securely in cloud and on-prem environments.
• Design, implement, and govern topic-modeling pipelines that surface emerging themes in customer conversations, advising product and care strategies in real time.
• Define and supervise sales performance metrics, translating sophisticated findings into clear, actionable recommendations for executives and frontline teams.
• Lead AI evaluations (offline and in-flight), establishing gold-standard benchmarks for accuracy, fairness, and business impact.
• Operationalize "LLM as a Judge" frameworks to automate qualitative assessment of chatbot and agent interactions, accelerating experimentation cycles.
• Advance supervised, unsupervised, and reinforcement-learning models, championing responsible AI practices and model-risk management.
• Translate data-science insights into strategic roadmaps for partners, aligning initiatives with company goals.
• Drive cross-functional collaboration with Data Engineering, Product, UX, and Care operations to ensure friction-free delivery of analytics products.
• Stay on the forefront of AI research and tooling, advocating for innovative ways that boost speed, quality, and customer delight.

Knowledge, Skills, and Abilities:

• 7+ years leading high-impact engineering and AI/ML teams, with success mentoring senior-level talent.
• Proven track record to lead and encourage software development teams responsible for building robust, scalable solutions directly supporting sales organizations and go-to-market strategies-enabling revenue growth, optimizing sales workflows, and improving customer engagement through innovative technologies.
• Technical proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow), SQL, and orchestration of ETL/data science pipelines using Airflow, Spark, or similar tools.
• Expertise in architecting and deploying machine learning algorithms, natural language processing pipelines, topic modeling frameworks, and evaluation techniques for LLM-powered systems.
• Hands-on experience integrating AI-driven features and automation into products that accelerate the sales cycle, improve lead scoring and prioritization, and drive insights for field and inside sales teams.
• Adept at overseeing end-to-end ML model lifecycles-including CI/CD for models, maintaining rigorous version control and data lineage, and implementing real-time dashboards to ensure model performance and reliability.
• Deep understanding of cloud ecosystems (AWS, Azure, GCP) for scalable training, secure data management, and ultra-low-latency inference in production environments.
• Proven success collaborating with sales operations, go-to-market leadership, and cross-functional business partners to align technical solutions with revenue goals, sales KPIs, and customer-centric outcomes.
• Outstanding communication and storytelling skills, with the ability to translate complex technical concepts and sophisticated analyses into compelling, actionable narratives for both technical and non-technical audiences-including sales leadership, executive sponsors, and front-line sellers.
• Familiarity with service-desk workflows, CSAT/NPS, sales enablement platforms, and operational metrics is a plus.

Education:

Bachelor's degree in data science, computer science, statistics, engineering, or equivalent. (Master's or PhD preferred).

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, 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.