Project Manager, Technical - AI Asset Library & Marketplace

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!

Job Overview This role owns the AI Asset Library & Marketplace on the Adoption & Experience team — the product that brings T-Mobile's reusable AI assets to life. Skills, GPTs, plugins, prompt templates, and agent components are built every day across the enterprise; without a marketplace, they get built twice. You'll own the full product: the contribution pipeline that gets assets in, the curation, security, and quality bar that makes them trustworthy, the discovery experience that gets them found, and the reuse measurement that proves the acceleration. Because the assets are technical, you'll need enough fluency in how skills, assistants, and agents are built to set a quality bar builders respect — and you'll partner with the platform engineering teams that host the assets and with AI Hub, where employees discover them

Job Responsibilities : • Own the AI Asset Library & Marketplace product end to end: vision, roadmap, and backlog for contribution, curation, discovery, and reuse. • Define and operate the asset lifecycle — submission, review, quality bar, versioning, publication, and retirement — across skills, GPTs, plugins, prompt templates, and agent components. • Own the pre-publication review gate, partnering with Cybersecurity and Responsible AI so every downloadable asset clears security and compliance scanning before it is made available. • Build the path from local reuse to enterprise scale: define the promote-to-enterprise review that takes a proven asset and publishes it at the platform level across approved AI tools. • Serve as the single front door for AI asset discovery, surfacing assets through AI Hub whether they are hosted in the marketplace or on a partner platform such as the agent runtime, and defining those integration boundaries with platform engineering. • Design the discovery experience so builders and business users find, evaluate, and adopt the right asset quickly. • Run the curation and contributor program: standards for asset quality, documentation, and ownership, plus the recognition that keeps contributions coming. • Measure reuse and its impact — assets published, adoption rates, delivery time saved — and drive the roadmap from that data. • 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, Engineering, IT or equivalent experience. (Required) • 3+ years experience in hands on technical rolw riting production cocde, solution engineering, or technical architecture in large scale company/ application/product environment. (Required) • 5+ years of relevant Product Management experience in an agile software product development environment. (Required)

Knowledge, Skills and Abilities : • Agile SDLC (Required) • Analytical Thinking (Required) • Backlog Management (Required) • Customer-Focused (Required) • Product Management (Required) • Product Requirements (Required) • Product Specifications (Required) • Solution Architecture Design (Required) • Stakeholder Management (Required) • Technical Design Documentation (Required)

Preferred Knowledge, Skills and Abilities: • Prompt Engineering • AI Agent Design & Agentic Workflows • AI/ML Infrastructure • Responsible AI • AI Cost Management (Token Economics) • AI Observability & Evaluation • Application Latency & Performance Optimization • AI-Assisted Development Tools • Developer Platform or Marketplace Product Management • Technical Community & Contributor Program Management

Licenses and Certifications : • Scrum Product Owner Certification (CSPO) (Preferred) • Agile Certified Practitioner (PMI-ACP) (Preferred)

• 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: $118,910 - $214,360

National Base Pay Range: $103,400 - $186,400

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, https://paylookup.t-mobile.com/paylookup?reqID=REQ362100&paradox=1

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 ca

Similar jobs

• Technical Program Manager, AI Infrastructure — Character · Remote
• Project Manager, Applied AI — Lilt · Remote
• Project Manager, Data & AI — Aresmgmt · New York, NY
• Staff Technical Program Manager, AI Infrastructure — General Motors · Remote
• Sr. Technical Program Manager - AI — Meridianlink · Remote
• Technical Program Manager, AI Delivery — Cohere · United States
• Lead AI Technical Product Manager — Humana · New York, NY | Louisville, KY | Dallas FriscoCorp
• Senior AI Project Manager — Kungfuai · Austin, TX