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$92k–$166k/yr
Full-time
bachelor degree, postgraduate degree
Medical insurance, Dental insurance, Vision insurance, 401(k), Employee stock grants, Employee stock purchase plan
Posted 44d ago
~40 hrs/week
Responsibilities
The role involves designing and managing showback and chargeback models for AI token spend and overseeing license management for platforms like OpenAI and Anthropic. You will monitor workload costs, flag anomalies, and partner with finance and engineering teams to ensure accurate cost attribution.
Requirements
Candidates must have a Bachelor's degree in Computer Science or a related field plus 5 years of experience, or an advanced degree with 3 years of experience. Proficiency in financial analysis, cost management, and familiarity with AI platform cost structures is required.
Full job 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!
Job Overview This role owns how T-Mobile understands, controls, and gets value from every dollar and every seat it spends on AI — and builds the programs that do it. On the cost side, you'll design the showback and chargeback models for token spend across our GenAI platforms and LLM spend for our agents, then build the cost-optimization model, and the tooling to support it, that keeps spend efficient as usage scales. On the license side, you'll own the license management program across OpenAI, Anthropic, and Glean — who's eligible, verifying the right people hold seats, standing up and tearing down licenses for pilots, and reclaiming what's unused. It's one mission from two angles: every unused seat reclaimed and every token optimized is value returned to the business. As AI spend grows into a major enterprise investment, you're the person who makes it visible, fair, and optimized by design. Success looks like every leader knowing exactly what their AI costs and why, anomalies flagged before they become surprises, and cost views feeding the Council measures dashboard — not a dollar or a seat going to waste.
Job Responsibilities
Design the showback and chargeback models for token spend across GenAI platforms and LLM spend for agents.
Design and build the cost-optimization model, and bring in the tooling to support it.
Own the license management program across OpenAI, Anthropic, and Glean — eligibility, seat verification, pilot licenses, and reclamation.
Attribute cost to the teams and value driving it, and reclaim unused spend and seats as a standing discipline.
Monitor user and workload cost across platforms and agents; flag anomalies to platform and product owners before they become budget surprises
Feed cost views and token attribution data into the Council measures dashboard; support leadership reporting on AI spend trends
Partner with platform engineering, Finance, and business owners to ensure cost attribution is accurate and chargeback models reflect actual usage
Also responsible for other duties/projects as assigned by business management as needed
Education and Work Experience
Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
Acceptable areas of study include Computer Science or a related field. In lieu of a degree, equivalent industry experience may be considered. (Required)
4-7+ years of experience in financial analysis, cost management, technology spend optimization, or vendor/license management. (Required)
Required Knowledge, Skills and Abilities
Agile Methodology
Mentorship
Requirements Analysis
Stakeholder Management
Cost Attribution & Chargeback Modeling
Anomaly Detection & Cost Monitoring
Vendor & License Management
Financial Reporting & Dashboard Development
Technical Writing
Troubleshooting
Cost Modeling (Showback & Chargeback)
Cost Optimization Program Design
License & Seat Management
Preferred Knowledge, Skills and Abilities
Experience with AI/LLM platform cost structures (token-based pricing, per-seat licensing)
Familiarity with enterprise AI platforms (OpenAI, Anthropic/Claude, Glean)
Experience with FinOps practices or cloud cost management frameworks
Knowledge of financial chargeback or showback methodologies in enterprise IT
Familiarity with data visualization or dashboard tools (Power BI, Tableau, or similar)
At least 18 years of age
Legally authorized to work in the United States
Travel: Travel Required (Yes/No): Yes
DOT Regulated: DOT Regulated Position (Yes/No): No Safety Sensitive Position (Yes/No): No
Base Pay Range: $92,100 - $166,100Corporate Bonus Target: 15%
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=REQ364274¶dox=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.
Related keywords
AI Cost ManagementGenAILLMToken-based pricingOpenAIAnthropicGleanFinOpsCloud cost managementPower BITableauBudgetingCost attributionPlatform engineeringLicense reclamationEnterprise AI
As the supercharged Un-carrier, T-Mobile US, Inc. (NASDAQ: TMUS) is powered by an award-winning 5G network that connects more people, in more places, than ever before. With T-Mobile’s unique value proposition of best network, best value, and best experiences, the Un-carrier is redefining connectivity and fueling competition while continuing to drive the next wave of innovation in wireless and beyond. Headquartered in Bellevue, Wash., T-Mobile provides services through its subsidiaries and operates its flagship brands, T-Mobile, Metro by T-Mobile, and Mint Mobile.
Offices: 12920 SE 38th St, Bellevue, WA 98006, US · 1 Ravinia Dr, ATLANTA, GA 30346, US · Frisco, Texas, US · Overland Park, Kansas, US
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Based on 213 listings with disclosed salaries, most technology jobs in Frisco, TX pay between $74k–$235k per year. Individual offers vary with seniority, company size, and specialization.
How many Technology jobs are open in Frisco, TX right now?
There are currently 310 open technology positions in Frisco, TX listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Frisco, TX?
Companies currently hiring include Thomson Reuters, T-Mobile, Keurig Dr Pepper Inc., Kyndryl, McAfee, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Frisco, TX?
Yes — 203 of the 310 open technology positions offer remote or hybrid work (48 remote, 155 hybrid).
How do I apply for Technology jobs in Frisco, TX?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.