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About This Role
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 is not a remote position. T-Mobile is a hybrid work environment requiring work in the office three (3) days per week. The successful candidate will be located in either Seattle, Washington or Frisco, Texas areas.
Job Overview
The Principal AI Technical Product Manager is a visionary product leader, customer evangelist, and execution driver responsible for bringing T-Mobile's most ambitious AI innovations from concept to commercial success. This role owns end-to-end product strategy and delivery for breakthrough AI initiatives, working in a fast-paced, entrepreneurial environment within T-Mobile's AI Commercialization team. The Principal AI Technical Product Manager combines deep customer empathy, strategic thinking, and hands-on execution to deliver AI products that create new revenue streams and differentiated customer experiences. This role requires a unique blend of startup agility and enterprise scale capabilities, working closely with cross-functional teams to validate, build, and launch AI-powered solutions that push the boundaries of what's possible in telecommunications.
This role leads the end-to-end management of complex technical products to meet specific business goals and customer needs. It involves defining product vision, strategy, and roadmaps while collaborating with cross-functional teams to deliver technical solutions. The role requires analyzing market data, customer insights, and industry trends to prioritize product features and innovations. Success is measured by product performance, customer satisfaction, and alignment with business objectives. The work impacts organizational growth and enhances customer experiences through effective product delivery and technical leadership.
No day is the same for the Product Manager, Technical. Day to day activities or responsibilities include: conducting market research; writing detailed features or user stories; determining specifications; defining long-term strategy of the product; creating the product road map; driving technical delivery end to end; defining scope for releases/product increments; partnering with development, project/program management, marketing, and other key stakeholders to define release schedule; and support/drive go-to-market activities as needed.Vision & Strategy for AI Products
- Owns strategy, roadmap, and lifecycle for enterprise AI products and reusable AI capabilities serving multiple customer journeys, business units, or platforms.
- Accountable for measurable business outcomes including revenue growth, cost reduction, adoption, retention, automation impact, and customer experience improvement.
- Drives multi-year product investment strategy, including business cases, funding requests, and prioritization of AI initiatives across a portfolio of opportunities.
- Own the product lifecycle for complex technical solutions, ensuring alignment with business objectives and customer needs
- Conducts deep customer research and market analysis to identify breakthrough AI opportunities
- Defines success metrics and tracks progress against ambitious growth targets
- Anticipates AI trends and competitive threats, incorporating insights into product strategy
- Conducts analysis of quantitative and qualitative data to identify product innovation opportunities or root cause of issues, and assess opportunity size and impact. May work with data scientists to answer complex questions or identify meaningful insights from data.
- Leverages rapid hypothesis driven testing methodologies and experiments (i.e. paper prototype, A/B testing, etc.) to inform direction, prioritize investment.
- Works with stakeholders and follows enterprise process to secure and maintain product funding.
- Anticipates industry trends, direction, innovation, analyses potential impacts or opportunities to customer / product, and incorporates analyses into product process.
- Communicates, influences, and sells ideas at SVP/EVP/C-Level and below. This includes regularly delivering product presentations.
- Drives specific ad hoc analysis and presents information to SVP/EVP/C level and below on request.
- Owns product feature set or technical improvements to improve customer experience.
- Leads discussions with external third parties to assess partnerships and licensing opportunities.
- Represents the company externally with strategic partners, industry groups, and executive customers on AI innovation strategy and product direction.
Customer Evangelist
- Leads customer discovery and validation activities for new AI products
- Writes detailed product requirements, user stories, and acceptance criteria for AI-powered features
- Designs and executes rapid prototyping and MVP development cycles
- Conducts user testing and iteration based on customer feedback
- Ensures AI products deliver measurable customer value and exceptional user experience
- Advocates for customer needs throughout the development process
- Leverages customer insights for product vision, strategy, roadmap, priorities.
- Create, manage, foster an active VOC feed for themselves and team.
- Actively looks for opportunities to delight or meet customer’s unmet needs.
- Evangelizes and advocates for the customer both internally (IC through C level) and externally, perpeuating the customer-first mindset.
- Creates an environment and culture where the team is immersed in customer-first mindset.
- Tests ideas with real customers to ensure that the product deliver the desired benefit.
Product Execution & Technical Delivery
- Collaborates with Technical Architects to ensure AI solutions are technically feasible and scalable
- Partners with UX/UI designers to create intuitive and engaging AI interactions
- Works with engineering teams (both internal and matrixed) to deliver products on time and within scope
- Coordinates with GTM and commercialization teams to develop launch strategies
- Drives resolution of technical and business challenges that arise during development
- Translates product/platform strategy by writing detailed features and user stories consumable for Dev teams for the highest level complexity products with multiple transactions and touchpoints across many teams. This work may include creation of prototypes.
- Collaborates with PM and Dev leaders to design, architect and assemble effective Agile delivery teams in the Agile Release Train and Agile Teams.
- Scopes and ensures alignment on the prioritization of activities based on business and customer impact.
- Requires deep product and technical fluency in applied AI, including LLM-based experiences, model selection, retrieval-augmented generation (RAG), experimentation, evaluation frameworks, and production AI constraints.
- Defines the product strategy for foundational AI platform capabilities, tooling, and reusable services that accelerate delivery across multiple teams.
- Collaborates with Architecture and Dev teams to ensure technical debt and long term technical investment is factored into roadmap.
- Ensures existing production defects are factored into regular backlog prioritization for resolution based on priority
- In scaled teams, holds regular meetings and coordination activities with other PM’s and Product Owners (if applicable) to ensure parallel work is in sync and dependencies are known.
- Generates and maintains dashboards and reports that track product health and success metrics, technical KPI’s.
- Runs beta and pilot programs with early-stage products and samples.
- Collaborates with advertising and public relations to promote product.
- Supports sales, marketing, and other stakeholder teams with product or technical knowledge and additional documentation.
- Anticipates and communinctes technical challenges to stakeholders and makes educated trade-off decisions with the team.
- Accountable for product quality and performance in production environment. Accountable for product and Dev team response in event of critical or high impacting defect , including communications to stakeholders at all levels.
- Manages development of adoption tools and training materials. Identify execution, operational, organizational issues that impede product success. Drive improvement plan to change or resolve issues (within sphere of influence).
- Support and enable core agile practices and tenants: efficient just-in-time flow; lean practices; elimination of waste; DevOps CICD.
Relationship & People, Professional Development
- Builds strong relationships with Network, IT, Business, Marketing and other organizations
- Acts as a force multiplier across the organization by mentoring product managers and establishing best practices for AI product discovery, experimentation, and delivery.
- Negotiates priorities and resources across multiple stakeholder groups
- Communicates product roadmaps and launches to internal and external audiences
- Mentors junior product managers and shares innovation best practices
- Represents T-Mobile at industry events and innovation forums
- Collaborates and develops positive working relationships with many technical and non-technical teams, including sales, commercial accounting, marketing, legal, go-to-market, finance, Dev, Architecture, Engineering. Works with outside partners and other third parties.
Required Education:
- Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience.
Required Work Experience:
- 8+ years’ experience in hands on technical role writing production code, solution engineering, or technical archtecture in large scale company / appplication / product environment.
More than 10 years relevant Product Management experience in an agile software product development environment. *
Required Knowledge, Skills and Abilities:
- Business Operations - Demonstrates complete mastery of business side skills (communication, customer research, product vision, feature definition), as well as technical architecture, Dev, and execution skills.
- Business Analysis - Proven analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions.
- Customer Experience Management - Mastery level (industry leading) understanding of customer experience.
- Technology - Mastery level understanding of platform technologies and components such as security, performance, optimization, API integration. Expert level knowledge of full technology stack on which your assigned product runs.
- Agile Methodologies - Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used tools, across multiple teams.
- Partnership Development - Experience working with external partners, vendors, and ecosystem players
- Innovation Methodology - Expertise in design thinking, lean startup methodologies, rapid prototyping, and hypothesis-driven development
- Collaboration - Experience with successive elaboration and ability to develop Initiatives, Features and User Stories that the DevOps teams can ingest.
- Product Management - Experience in delivering large and complex business/technology initiatives as Product Manager or lead technology role.
- Communication - Proven ability to effectively and efficiently communicate with Leadership, technical and non-technical audiences while employing a high degree of collaboration and influence.
- Integration - Knowledge and experience with integration patterns, API’s, and protocols such as REST, EDI, SOAP, etc.
- AI/ML Product Expertise - Deep understanding of AI technologies, capabilities, and limitations. Experience with LLMs, conversational AI, and ML platforms
- Data-Driven Decision Making - Proficiency with analytics tools and metrics-based product optimization
#LI-Corporate
- At least 18 years of age
- Legally authorized to work in the United States
Travel:
Travel Required (Yes/No):
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Total Target Cash Earnings Opportunity: $167,640 - $302,400 National Base Pay Range: $139,700 - $252,000 The Total Target Cash Earnings Opportunity represents the expected total cash compensation for this role at target performance, combining base salary and annual incentive opportunity. Actual earnings may be higher or lower depending on individual performance and overall company results.
The base pay range reflects the compensation component of this opportunity. The 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. To find the pay range for this role based on hiring location, click here. 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. Corporate employees are eligible for a year-end bonus based on individual and/or company 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. The incentive component included in the Total Target Cash Earnings Opportunity reflects target performance. Actual earnings included in the Total Target Cash Earnings Opportunity reflect target performance; actual payouts may vary.
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, genetic information, 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 [email protected] 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.
Salary Context
This $139K-$302K range is above the median for AI Product Manager roles in our dataset (median: $194K across 123 roles with salary data).
View full AI Product Manager salary data →Role Details
About This Role
AI Product Managers define what AI features get built and why. They translate business problems into ML-solvable tasks, work with engineering to scope model requirements, and own the metrics that determine if an AI feature is working. The role requires a rare combination of technical fluency and product instinct.
Unlike traditional product management, AI PM work involves managing uncertainty at a fundamental level. Your model might work 90% of the time. What happens the other 10%? What's the user experience when the AI is wrong? How do you measure 'good enough' for a probabilistic system? These questions don't have easy answers, and the AI PM is the person responsible for finding them.
Across the 9,079 AI roles we're tracking, AI Product Manager positions make up 5% of the market. At T-Mobile, this role fits into their broader AI and engineering organization.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
What the Work Looks Like
A typical week includes: reviewing model evaluation results with the ML team, defining success metrics for a new AI feature, conducting user research on how customers respond to AI-generated outputs, writing product requirements that include accuracy thresholds and fallback behaviors, and presenting the AI roadmap to leadership. You're the translator between technical capability and business value.
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
Skills Required
Technical fluency with ML concepts is essential, though you won't be writing models. Expect to understand training data, evaluation metrics, model limitations, and responsible AI practices. SQL and basic Python are increasingly expected. Experience with A/B testing, data analysis, and product analytics is baseline. Understanding LLM capabilities and limitations is now a core requirement.
The differentiator is AI-specific product thinking: knowing when to use ML vs. heuristics, understanding the cost of training data collection, designing graceful degradation for model failures, and building products that improve with usage data. Experience with AI safety, bias mitigation, and responsible AI deployment is increasingly important.
Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
Compensation Benchmarks
AI Product Manager roles pay a median of $220,200 based on 947 positions with disclosed compensation. Senior-level AI roles across all categories have a median of $229,300. Disclosed range: $139K to $302K.
Across all AI roles, the market median is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. For comparison, the highest-paying categories include AI Safety ($256,000) and Research Engineer ($252,000). By seniority level: Entry: $111,000; Mid: $193,200; Senior: $229,300; Director: $272,300; VP: $235,830.
T-Mobile AI Hiring
T-Mobile has 9 open AI roles right now. They're hiring across AI/ML Engineer, AI Product Manager. Positions span Frisco, TX, US, Frisco, TX, New York, NY. Compensation range: $195K - $356K.
Location Context
Across all AI roles, 6% (531 positions) offer remote work, while 8,478 require on-site attendance. Top AI hiring metros: New York (3,078 roles, $221,000 median); San Francisco (2,646 roles, $261,000 median); Los Angeles (1,486 roles, $210,000 median).
Career Path
Common paths into AI Product Manager roles include Product Manager, Data Analyst, Technical Program Manager.
From here, career progression typically leads toward Director of AI Product, VP Product, Head of AI.
The most effective path is PM experience plus self-directed AI education. Take Andrew Ng's courses, build a small ML project, and learn enough Python to read model evaluation code. The goal isn't to become an ML engineer. It's to have credibility in technical conversations and to understand what's possible, what's hard, and what's a bad idea.
What to Expect in Interviews
AI interviews typically combine coding challenges (Python-focused), system design questions tailored to the role, and discussions about your experience with relevant tools and frameworks. Strong candidates demonstrate both technical depth and the ability to make pragmatic engineering tradeoffs. Prepare portfolio projects that demonstrate end-to-end capability rather than isolated skills.
When evaluating opportunities: Strong postings describe specific AI products the PM will own, mention the ML team structure, and talk about measurement methodology. Look for companies that have already shipped AI features. Roles at companies that are 'exploring AI' often mean you'll spend a year defining the strategy before any building happens.
AI Hiring Overview
The AI job market has 9,079 open positions tracked in our dataset. By seniority: 106 entry-level, 4,384 mid-level, 3,343 senior, and 1,246 leadership roles (Director, VP, C-Level). Remote roles make up 6% of the market (531 positions). The remaining 8,478 roles require on-site or hybrid attendance.
The market median for AI roles is $213,000. Top-quartile compensation starts at $263,911. The 90th percentile reaches $318,400. Highest-paying categories: AI Safety ($256,000 median, 66 roles); Research Engineer ($252,000 median, 457 roles); AI Engineering Manager ($251,622 median, 55 roles).
AI Product Manager roles are growing as companies realize that shipping AI features requires different product thinking than traditional software. The best candidates combine product management experience with enough technical depth to have productive conversations with ML engineers about model capabilities and limitations.
The AI Job Market Today
The AI job market spans 9,079 open positions across 16 role categories. The largest categories by volume: AI/ML Engineer (6,862), AI Product Manager (453), AI Software Engineer (451). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (106) are outnumbered by mid-level (4,384) and senior (3,343) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 1,246 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 6% of all AI roles (531 positions), with 8,478 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $213,000. Top-quartile roles start at $263,911, and the 90th percentile reaches $318,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Safety roles lead at $256,000 median, while Prompt Engineer roles sit at $141,440. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Python (1,649 postings), Aws (898 postings), Azure (723 postings), Rag (671 postings), Gcp (536 postings), Pytorch (434 postings), Claude (410 postings), Kubernetes (406 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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