Principal AI Product Manager, Technical

T-Mobile USA, Inc. is building enterprise-grade AI capabilities that can move from early concepts to commercial outcomes. In this hybrid role based in Bellevue, WA, the Principal AI Technical Product Manager leads end-to-end strategy, roadmap, and delivery for complex AI products and reusable AI services, aligning technical execution with measurable business results.

Role scope

• Own the strategy, roadmap, and product lifecycle for enterprise AI products and reusable AI capabilities serving multiple customer journeys, business units, or platforms.
• Lead multi-year product investment planning, including business cases, funding requests, and prioritization across a portfolio of AI initiatives.
• Define and track success metrics tied to ambitious growth targets and outcomes.
• Drive measurable business impact across areas such as revenue growth, cost reduction, adoption, retention, automation impact, and customer experience improvement.

Customer and market discovery

• Conduct deep customer research and market analysis to identify breakthrough AI opportunities.
• Lead customer discovery and validation for new AI products, including testing ideas with real customers to confirm desired benefits.
• Create and manage an active VOC feed for the role and the team, and actively look for opportunities to meet customer unmet needs.

Technical product execution

• Write detailed product requirements, user stories, and acceptance criteria for AI-powered features for highest-complexity products with many transactions and touchpoints.
• Use rapid hypothesis-driven experimentation, including paper prototype approaches and A/B testing, to inform direction and investment priorities.
• Design and execute rapid prototyping and MVP development cycles, followed by user testing and iteration based on feedback.
• Collaborate with Technical Architects and engineering teams to ensure AI solutions are feasible and scalable, including alignment on technical debt and long-term investment.
• Translate platform and product strategy into features and stories Dev teams can execute, including potential creation of prototypes.

AI strategy, planning, and portfolio decisions

• Anticipate AI trends and competitive threats, incorporating insights into product strategy and ongoing processes.
• Conduct analysis of quantitative and qualitative data to identify innovation opportunities or root causes, assess opportunity size and impact, and partner with data scientists when needed.
• Define strategy for foundational AI platform capabilities, tooling, and reusable services that accelerate delivery across multiple teams.
• Secure and maintain product funding by working with stakeholders and following enterprise processes.

Collaboration, communication, and external presence

• Communicate, influence, and “sell” ideas at SVP/EVP/C-level and below, including regularly delivering product presentations.
• Represent T-Mobile externally with strategic partners, industry groups, and executive customers on AI innovation strategy and product direction.
• Lead discussions with external third parties regarding partnerships and licensing opportunities.
• Coordinate with GTM and commercialization teams to develop launch strategies, and support sales and marketing with product and technical knowledge.
• Promote product through collaboration with advertising and public relations.

Agile delivery and operational readiness

• Partner with PM and Dev leaders to design effective Agile delivery teams, including work aligned to Agile Release Train and Agile Teams concepts.
• Scope and align prioritization based on business and customer impact, including synchronization across dependencies.
• Generate and maintain dashboards and reports tracking product health, technical KPIs, and success metrics.
• Own production quality and performance expectations, including response and stakeholder communications for critical or high-impact defects.
• Run beta and pilot programs with early-stage products and provide adoption tools and training materials.

Required qualifications

• Bachelor’s Degree in Computer Science, Engineering, IT, or equivalent experience.
• 8+ years in hands-on technical work writing production code, solution engineering, or technical architecture in a large-scale company, application, or product environment.
• More than 10 years of relevant Product Management experience in an agile software product development environment.
• Demonstrated mastery across business skills (communication, customer research, product vision, feature definition) and technical architecture, Dev, and execution.
• Proven analytical skills to identify, analyze, and synthesize product use data to drive decisions.
• Mastery-level understanding of customer experience.
• Mastery-level understanding of platform technologies and components including security, performance, optimization, and API integration, with expert knowledge of the full technology stack supporting the assigned product.
• Proven success directing matrixed resources and delivering software using Agile Scrum methodologies and common tools across multiple teams.
• Experience working with external partners, vendors, and ecosystem players.
• Expertise in design thinking, lean startup methodologies, rapid prototyping, and hypothesis-driven development.
• Experience with successive elaboration to develop initiatives, features, and user stories usable by DevOps teams.
• Experience delivering large and complex business and technology initiatives as a Product Manager or lead technology role.
• Knowledge of integration patterns, APIs, and protocols such as REST, EDI, and SOAP.
• Deep understanding of AI technologies, capabilities, and limitations, including LLMs, conversational AI, and ML platforms.
• Proficiency with analytics tools and metrics-based product optimization.
• At least 18 years of age and legally authorized to work in the United States.

Technologies

• LLM-based experiences
• Retrieval-augmented generation (RAG)
• A/B testing
• Paper prototype
• REST, EDI, SOAP
• Agile Scrum methodologies
• DevOps CICD
• API integration
• DevOps, Agile Release Train, Agile Teams
• Conversational AI, ML platforms

Compensation

• National base pay range: USD 139,700 - 252,000 per year
• Total target cash earnings opportunity: USD 167,640 - 302,400
• Salary range (listed): USD 139,700 - 302,400 per year

Work arrangement

• Hybrid role in Bellevue, WA requiring work in the office three (3) days per week.
• This is not a remote position.
• Candidate will be located in either Seattle, Washington or Frisco, Texas areas.

Benefits

• Medical, dental, and vision insurance
• Flexible spending account
• 401(k)
• Employee stock grants
• Employee stock purchase plan
• Paid time off
• Up to 12 paid holidays (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, and childcare subsidy
• Tuition assistance and 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
• Mobile service and home internet discounts (eligible employees)
• Pet insurance (eligible employees)
• Access to commuter and transit programs (eligible employees)
• Competitive base salary and compensation package (Total Rewards)
• Annual stock grant
• Access to free, year-round money coaches
• Annual bonus or periodic sales incentive (role-based) for eligible employees in regular, non-temporary roles
• Year-end bonus for corporate employees based on individual and/or company performance
• Monthly bonuses for certain Customer Care positions based on individual and/or team performance