H-1B Visa AI Product Manager Jobs
AI Product Manager roles qualify for H-1B sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, engineering, or a related field. Employers file the Labor Condition Application with DOL before petitioning USCIS, and the annual cap means timing your job search around the April lottery window matters.
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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 Manager
Frame your degree for specialty occupation
USCIS evaluates whether your specific degree field directly relates to AI product management. A computer science or engineering degree strengthens your case more than a general business degree, so highlight technical coursework in your credential documentation.
Target employers with cap-exempt filing history
Universities, nonprofit research institutions, and government-affiliated entities can file H-1B petitions outside the annual cap. AI product roles at these organizations let you start without waiting for the April lottery window.
Search verified H-1B sponsors on Migrate Mate
Use Migrate Mate to filter AI Product Manager openings by employers with confirmed LCA filing history. This surfaces companies that have already cleared DOL prevailing-wage certification for this occupation, not just those who mention sponsorship in job posts.
Pull your prevailing wage before negotiating
Run your job title and metro area through the OFLC Wage Search before any offer conversation. Your employer's LCA must certify a wage at or above the DOL prevailing wage for your location, so knowing Level II versus Level III thresholds gives you a grounded starting point.
Time your job search to the petition window
H-1B cap-subject petitions must be filed by April 1 for an October 1 start date. Back-calculate from that deadline: your offer, LCA certification, and I-129 preparation each take time, so a signed offer by January or February is realistic for most employers.
Clarify which entity will be your petitioner
AI product roles at startups funded through holding companies or acquired teams often involve a legal employer different from the brand you interviewed with. Confirm the exact filing entity before accepting an offer, since the LCA and I-129 must reflect the actual employing organization.
AI Product Manager jobs are hiring across the US. Find yours.
Find AI Product Manager JobsAI Product Manager H-1B Visa: Frequently Asked Questions
Does an AI Product Manager role qualify as a specialty occupation for H-1B purposes?
Yes, provided the position requires at least a bachelor's degree in a directly related field such as computer science, data science, or engineering. USCIS scrutinizes AI product roles where the job description includes general business tasks, so your employer's petition should emphasize the technical requirements of building and shipping AI-driven products, not just managing roadmaps.
Which employers sponsor H-1B visas for AI Product Manager positions?
Technology companies, enterprise software firms, and AI-focused startups are the most active H-1B sponsors for this role. Migrate Mate filters job listings by verified LCA filing history, so you can identify employers who have already certified prevailing wages for AI product roles at your target location rather than relying on unverified job post claims.
How does the H-1B lottery affect my job search timeline as an AI Product Manager?
Cap-subject H-1B petitions are filed in April for an October 1 start date. If you're on OPT, your employer needs to file by April 1, which means your offer, LCA certification, and I-129 preparation should be complete before March. Missing the filing window typically means waiting a full year unless your employer qualifies for cap-exempt status.
Can I switch AI Product Manager jobs while on H-1B status?
Yes. Under H-1B portability rules, you can start working for a new employer once they file a new I-129 petition, as long as your current H-1B is valid and you haven't been out of status. Your new employer must file a fresh LCA with DOL and submit their own petition to USCIS before your first day in the new role.
Does the O*NET classification for this role affect H-1B eligibility?
The O*NET profile for AI Product Manager roles typically maps to occupation categories requiring a bachelor's degree or higher in a technical field. Your employer will reference this classification when building the specialty occupation argument in the I-129 petition. Roles with a high job zone rating and specific degree requirements in O*NET are easier to defend to USCIS than broadly defined management titles.
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