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Principal Innovation Product Manager, Technical is a visionary, strategist, analyst, customer evangelist, respected leader of business and technology execution, and professional relationship builder all rolled into a single dynamic package. Every product at T-Mobile is envisioned and created to achieve a specific business purpose or set of business results. The Product Manager, Technical is ultimately accountable, responsible, and has ownership of T-Mobile's internal and external products, platforms, services, experiences envisioned and created to achieve the specific business purpose or business results. At a high level this means identifying the intersection of customer problems/unmet needs (an opportunity), technical feasibility, business objectives, securing funding, and leading a cross-functional business and technical team, as well as key stakeholders to deliver against the opportunity.
Job Responsibility
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
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 archtecture in large scale company / appplication / product environment
More than 10 years Relevant Product Management experience in an agile software product development environment