Manager, AI Solutions

T-Mobile • Bellevue, WA

163d • $149,200 - $269,100

About The Position

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! Are you ready to be a part of powerful customer-centric AI at the Un-carrier and be the voice turning data into our customers favorite story? We are searching for a pivotal leader for our AI Solutions team, where you'll build and inspire a powerhouse engineering team dedicated to turning conversational data into actionable insights empowering our sales and go-to-market teams, delight customers, and drive real business results. Blending innovative machine learning, NLP, and LLM-powered innovation with operational and service excellence, you'll own the design and deployment of scalable, production-ready solutions that optimize sales workflows, accelerate revenue, and build intuitive support experiences that embody the 'Un-carrier' spirit. If you have the vision to identify breakthrough opportunities, the technical and AI expertise to turn ideas into impact, and the leadership to mentor high-performing teams and deliver measurable value across the business, we want you on our team! We pride ourselves on encouraging a culture of innovation, advocating for agile methodologies, and promoting clarity in all that we do. Join us in embodying the spirit of the 'Un-carrier' and make a tangible impact! If you are passionate about driving excellence and want to make a significant impact, apply today!

Requirements

• 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.

Nice To Haves

• Master's or PhD in data science, computer science, statistics, engineering, or equivalent.

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.

Benefits

• Medical, dental and vision insurance
• Flexible spending account
• 401(k)
• Employee stock grants
• Employee stock purchase plan
• Paid time off and up to 12 paid holidays
• 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
• Voluntary long-term care insurance
• Mobile service & home internet discounts
• Pet insurance
• Access to commuter and transit programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Telecommunications
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees