Principal AI Product Manager, Technical

T-Mobile•Bellevue, WA

3d•Hybrid

About The Position

The Principal AI Product Manager, Technical is a visionary, strategist, analyst, customer evangelist, respected leader of business and technology execution, and professional relationship builder. This role is accountable for T-Mobile's internal and external products, platforms, services, and experiences, ensuring they achieve specific business purposes and results. This involves identifying opportunities at the intersection of customer problems, technical feasibility, and business objectives, securing funding, and leading cross-functional teams to deliver successful products. The role requires deep customer empathy, strategic thinking, commercial and analytical capabilities, technical knowledge, and leadership to deliver differentiated products that drive growth and positively impact customers' lives.

Requirements

Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience.
8+ years’ experience in hands on technical role writing production code, solution engineering, or technical architecture in large scale company / application / product environment.
More than 10 years Relevant Product Management experience in an agile software product development environment.
Demonstrates complete mastery of business side skills (communication, customer research, product vision, feature definition), as well as technical architecture, Dev, and execution skills.
Proven analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions.
Mastery level (industry leading) understanding of customer experience.
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.
Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used 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.
At least 18 years of age.
Legally authorized to work in the United States.

Nice To Haves

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.

Responsibilities

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.
Works with stakeholders and follows enterprise process to secure and maintain product funding.
Communicates, influences, and sells ideas at SVP/EVP/C-Level and below, including 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.
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, perpetuating 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 delivers the desired benefit.
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.
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.
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 communicates 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.
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.