H-1B Visa AI Product Owner Jobs
AI Product Owner roles sit at the intersection of machine learning systems and business strategy, making them strong candidates for H-1B specialty occupation classification. Employers filing LCAs for this title typically use SOC codes tied to computer occupations, and the role's degree requirement in computer science, data science, or a related technical field supports petition approval.
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INTRODUCTION
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!
This is NOT a remote position. T-Mobile is a hybrid work environment requiring the successful candidate be in the office three (3) days per week. This position is open to candidates in Bellevue, WA only.
Job Overview
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.
Product Manager, Technical is the ultimate "jack-of-all-trades" leveraging deep customer empathy, strategic thinking, commercial, analytical, technical capability and knowledge, and leadership prowess to successfully deliver delightful and differentiated products that drive growth and positively impact customers lives.
No day is the same for the Product Manager, Technical. Day to day activities or responsibilities include: conducting market research; writing features or user stories; determining specifications; defining long-term strategy of the product; creating the product road map; driving technical delivery end to end; defining scope for releases/product increments; partnering with development, project/program management, marketing, and other key stakeholders to define release schedule; and support/drive go-to-market activities as needed.
Job Responsibilities:
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, 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 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 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.
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.
Education:
Bachelor's Degree in Computer Science, Engineering, IT or equivalent experience.
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.
Knowledge, Skills, and Abilities
- Business Operations - Demonstrates complete mastery of business side skills (communication, customer research, product vision, feature definition), as well as technical architecture, Dev, and execution skills.
- Business Analysis - Proven analytical skills with demonstrated ability to identify/analyze/synthesize product use data and use the data to drive decisions.
- Customer Experience Management - Mastery level (industry leading) understanding of customer experience.
- Technology - 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.
- Agile Methodologies - Proven success in directing matrixed resources and delivering software, with Agile Scrum methodologies and other commonly used tools, across multiple teams.
- Partnership Development - Experience working with external partners, vendors, and ecosystem players.
- Innovation Methodology - Expertise in design thinking, lean startup methodologies, rapid prototyping, and hypothesis-driven development.
LOCATION
This position is open to candidates in Bellevue, WA only.
Travel:
Travel Required (Yes/No):
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
COMPENSATION
- Base Pay Range: $139,700 - $252,000
- Corporate Bonus Target: 20%
The pay range above is the general base pay range for a successful candidate in the role. The successful 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.
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. Most Corporate employees are eligible for a year-end bonus based on company and/or individual 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.
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!
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, 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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Get Access To All JobsTips for Finding H-1B Visa Sponsorship as an AI Product Owner
Map your role to the right SOC code
AI Product Owner petitions are filed under SOC codes for software developers or computer and information systems managers. Confirm which code your employer plans to use before the LCA is submitted, since it determines your prevailing wage level and affects petition defensibility.
Verify the specialty occupation connection
USCIS scrutinizes product roles for degree specificity. Pull the O*NET profile for your target SOC code and confirm it lists a bachelor's degree in a directly related field as a typical entry requirement, then document how your actual duties align.
Search LCA filings to target active sponsors
Use Migrate Mate to filter employers by H-1B LCA filing history for AI and product management occupations. This shows you which companies have already cleared DOL certification for similar roles, cutting your search time significantly.
Check prevailing wage before negotiating salary
Run the OFLC Wage Search for your job title and work location before your offer call. Your offered salary must meet the DOL prevailing wage for the specific SOC code and geographic area, and going in informed prevents last-minute petition complications.
Flag AI tool ownership in your job description
If your role involves owning a model pipeline or making architectural decisions about AI systems, ensure the written job description captures that. Vague product language weakens the specialty occupation argument; specific technical responsibilities strengthen the I-129 petition narrative.
Time your transfer around premium processing windows
If you're changing employers mid-status, your 60-day grace period starts when your current employment ends. Premium processing reduces USCIS adjudication to 15 business days, which matters when your start date and grace period deadline are close together.
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Find AI Product Owner JobsAI Product Owner H-1B Visa: Frequently Asked Questions
Does an AI Product Owner role qualify as a specialty occupation for H-1B purposes?
Yes, if the job description requires a bachelor's degree or higher in a specific technical field such as computer science, data science, or engineering. Generic product management duties alone may not meet the bar. Roles that include hands-on AI system ownership, model evaluation, or technical roadmap decisions are more defensible because USCIS looks for a direct relationship between the required degree and the job's core duties.
Which SOC code do employers typically use when filing an H-1B for an AI Product Owner?
Most employers file under either 15-1252 (Software Developers) or 11-3021 (Computer and Information Systems Managers), depending on how technical the role is. The choice affects the DOL prevailing wage level and the O*NET profile used to support specialty occupation. Ask your employer's immigration counsel which code they plan to use before the LCA is submitted, since switching later delays certification.
How do I find employers who are actively sponsoring H-1B visas for AI Product Owner roles?
Migrate Mate lets you filter job listings by verified LCA filing history, so you can identify companies that have already obtained DOL certification for AI and product management titles. This is more reliable than assuming any company that posts an AI Product Owner role will sponsor, since LCA filings confirm actual H-1B intent rather than just hiring interest.
Can an AI Product Owner role be filed as cap-exempt?
Possibly, if your employer is a qualifying institution such as a university, a nonprofit affiliated with one, or a government research organization. Most AI product roles at tech companies and startups are cap-subject, meaning you'd need to go through the annual H-1B lottery. If you're already in H-1B status and changing employers, your new petition is also cap-exempt under portability rules established by AC21.
What documentation strengthens an H-1B petition for an AI Product Owner?
A detailed job description that ties specific duties to your degree field is the foundation. Supporting documents include your academic transcripts, any credentials in machine learning or product management, and a letter from the employer explaining why the role requires a technically specialized degree. If your degree field doesn't exactly match the job title, a credentials evaluation showing equivalency can fill the gap for USCIS adjudication purposes.
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