Product Manager, Technical: Responsible AI

T-Mobile

Frisco (TX)

On-site

USD 103,000 - 186,000

Full time

8 hours ago
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Benefits offered by this job

Stock grant
Employee stock purchase plan
401(k)
Money coaches access

Job summary

T-Mobile seeks a Product Manager to own the Responsible AI evaluation framework and AI transparency standards. You will shape vision, strategy, and the roadmap, working across Legal, Privacy, and engineering to balance feasibility, regulatory needs, and business goals.

You will translate strategy into concrete features, manage the backlog for evaluation tests and benchmarks, and drive timely delivery with Agile teams while tracking findings to closure and ensuring customers and employees receive

Qualifications

  • Experienced in Agile software product development.
  • Strong analytical and decision-making abilities.
  • Ability to translate strategy into features and stories.

Responsibilities

  • Define vision, strategy, and roadmap for AI evaluation framework.
  • Coordinate release schedules with Legal, Privacy and design authority.
  • Manage backlog and ensure timely product delivery.
  • Monitor production quality and close evaluation findings.

Skills

Agile SDLC
Analytical Thinking
Backlog Management
Customer-Focused
Product Management
Product Requirements
Product Specifications
Solution Architecture Design
Stakeholder Management
Technical Design Documentation

Education

Bachelor's Degree + 5 years experience
Advanced degree + 3 years experience
Computer Science / Engineering / IT background

Job description

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 is essential for managing the Responsible AI evaluation framework, the evaluation program that applies it, and the AI transparency and disclosure standard as technical products that meet specific business objectives within the organization. It involves owning the product lifecycle, including vision, strategy, the benchmarks and tests AI engineers build and run, and stakeholder collaboration with Legal, Privacy and the approving functions, which make the decisions. The role requires balancing technical feasibility, the regulatory requirements Legal provides, and business goals to prioritize which AI systems are evaluated, when, and against which benchmarks. Success is measured by evaluation coverage, findings closed, and approvers having clear, complete evidence for every AI system they review. The work impacts the organization by enabling cross-functional teams to deliver AI that is fair, safe and transparent for customers and employees.

Job Responsibilities
  • Own the end-to-end product lifecycle for the Responsible AI evaluation framework and program, and the AI transparency and disclosure standard, by defining vision, strategy, and roadmap to align with business and technical goals
  • Conduct market and customer research to identify opportunities and inform product decisions based on data analysis and customer feedback, including Responsible AI frameworks and the regulatory requirements Legal provides
  • Translate product strategy into detailed features and user stories, managing the product backlog to support Agile development teams, including the evaluation tests and benchmarks AI engineers build and run
  • Collaborate with cross-functional teams and stakeholders to coordinate release schedules and ensure timely product delivery, including Legal, Privacy and the Applied AI design authority
  • Monitor product performance and quality in production, addressing defects and driving continuous improvement, and track evaluation findings to closure with system owners
  • 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 a hands‑on technical role writing production code, solution engineering, or technical architecture in a large‑scale company, application or product environment (Required)
  • 5+ years of relevant Product Management experience in an agile software product development environment (Required)
Additional Preferred Education And Work Experience
  • Experience running an evaluation, testing or quality program for AI or machine learning systems (Preferred)
  • Working knowledge of Responsible AI frameworks such as the NIST AI Risk Management Framework: fairness and bias, explainability, transparency and harmful output (Preferred)
  • Experience with AI used in regulated decision areas such as employment, credit or insurance, working alongside Legal, Privacy or compliance (Preferred)
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
  • Influencing Skills
  • Technical Writing
Licenses and Certifications
  • Certified Scrum Master (CSM) Scrum Product Owner Certification (CSPO) (Preferred)
  • Other Technical Certification 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

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, copy and paste this link into your browser: https://paylookup.t-mobile.com/paylookup?reqID=REQ376163

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 ApplicantAccommodation@t-mobile.com 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.

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