Sr Manager, AI Strategy - GenAI Platforms & Chatbot Products

Job Overview

This role leads the team behind the AI platforms the whole enterprise relies on — the GenAI tools people use every day and the coding platforms our engineers build on — and the enterprise's self-service AI chat agents for Tier 1 IT and HR support. This is one of the highest-impact roles in the organization. These platforms are how the company gets work done and how our engineers ship code, and we're not dipping our toes in — we're leading the way with a platform of choice, so people reach for the best tool rather than the only one. That means real scope: multiple best-in-class platforms, one gateway, the models beneath them, and the reliability and cost that keep them running — plus the AI chat agents employees reach for first, resolving IT and HR requests in seconds instead of tickets, which your team builds, maintains, and operates against business-owner requirements. You own the experience across all of it, and you're accountable for making it match our Un-carrier mindset — bold, easy, and built for the people who use it. Success looks like an enterprise that builds and works on our platforms because they're the best, not because they're mandated.

Job Responsibilities

• Run the enterprise GenAI platform layer: gateway, key management, compliance APIs, and tool enablement
• Manage TeSS and Fetch myHR chatbot operations & platform migration, build-and-maintain against business-owner requirements; build and deploy the Universal Assistant product beginning in Q1
• Own AI cost management, token-level attribution, chargebacks, adoption reporting, and the reusable-asset marketplace
• Own the platform-of-choice strategy — multiple best-in-class platforms so people use the right tool for the job
• Own the end-to-end experience across platforms, and hold it to the Un-carrier bar
• Own platform reliability, security posture, and cost across the footprint
• Build and maintain cross-functional partnerships with business owners, Legal, Cyber, and Procurement to ensure platform compliance, licensing, and routing integrations are current
• Mentor team members by providing coaching and career development opportunities to enhance skills and knowledge
• Oversee executive-level reporting on platform adoption, AI cost trends, and performance against SLOs
• Also responsible for other duties/projects as assigned by business management as needed

Education and Work Experience

• Bachelor's Degree and 7 years of related work experience OR a combination of education and experience deemed equivalent (Required)
• Acceptable areas of study include Business, Engineering, Computer Science, Information Systems, or related field (Preferred)
• 7-10+ years Strategy and Problem Solving. Experience in framing complex problems, identifying key issues that impact business decisions, and providing data-driven recommendations. (Preferred)
• 7-10+ years running enterprise technology platforms, SaaS platforms, or developer tooling at scale, including vendor management and platform cost accountability. (Preferred)
• 4-7+ years Project management. Experience managing projects independently, engaging and getting buy-in from stakeholders, and creating roadmaps and project plans. (Preferred)
• 2-4+ years of managing teams of 5 or more resources in direct reporting relationships in an analytics, strategy, or project management organization. (Preferred)
• Experience with LLM platforms, AI/ML tooling, or enterprise software vendor management (Preferred)

Required Knowledge, Skills and Abilities

• Artificial Intelligence Strategy
• Business Acumen
• Data Analysis
• LLM Gateway & API Management
• AI Cost Management & Chargebacks
• Mentorship
• Presentation Delivery
• Product Management
• Stakeholder Management
• Strategic Thinking
• Platform Engineering Leadership
• Multi-Platform & Vendor Management
• Developer Experience
• Agent & Chatbot Operations
• Reusable Asset Marketplace Management
• Vendor & License Management

Preferred Knowledge, Skills and Abilities

• Familiarity with enterprise AI platforms (Claude, OpenAI, Microsoft Copilot)
• Experience with LLM gateway or API management platforms (e.g., Cequence)
• Knowledge of token-based cost attribution and AI chargeback models
• Prior experience in a telecom, regulated industry, or large enterprise technology environment
• Familiarity with ITIL, SRE practices, or platform SLO management

Benefits

• Medical, dental and vision insurance
• Flexible spending account
• 401(k)
• Employee stock grants and employee stock purchase plan
• Paid time off and up to 12 paid holidays (about 4 weeks for new full-time employees; about 2.5 weeks for new part-time employees annually)
• Paid parental and family leave
• Family building benefits, back-up care, enhanced family support, and childcare subsidy
• Tuition assistance and college coaching
• Short- and long-term disability
• Voluntary AD&D coverage, accident coverage, life insurance, disability insurance, and long-term care insurance
• Mobile service & home internet discounts
• Pet insurance
• Access to commuter and transit programs
• Annual stock grant and access to free, year-round money coaches

Pay

Base Pay Range: $122,200 - $220,500. Corporate Bonus Target: 20%. 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.