AI Product Owner Green Card Jobs
AI Product Owner roles at U.S. tech and enterprise companies qualify for EB-2 or EB-3 green card sponsorship through PERM labor certification, which requires employers to document that no qualified U.S. worker is available. Sponsorship covers the full permanent residency process, from LCA filing through I-140 petition and adjustment of status.
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Get Access To All JobsCompany Overview:
Req ID: 369449
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA's Client is currently seeking an AI Product Manager to join their team in Dallas, Jersey City or Salt Lake City!
About Your Role:
As an AI Product Manager, you will define the strategy, roadmap, and execution for Generative AI agentic solutions. Your mission is to reduce risk and cost in complex production environments by translating operational challenges into innovative AI-driven solutions. You will collaborate with engineering, production support, and application teams to deliver high-impact, reliable, and safe AI products.
Day to Day Job Duties:
- Define product vision, strategy, and roadmap for agentic AI systems
- Translate user pain points into product requirements, user stories, and success metrics
- Lead end-to-end lifecycle for LLM-based products from discovery to iteration
- Establish evaluation frameworks for LLMs and prioritize RAG pipelines, prompt engineering, and validation loops
- Drive integrations with observability, incident management, and deployment systems
- Conduct user research and translate production challenges into roadmap priorities
- Own AI safety, governance, reliability, and fallback strategies
- Define and monitor KPIs such as cost, latency, and user satisfaction
- Own data and knowledge strategy including RAG pipeline and data validation
- Lead product design reviews and promote data-driven experimentation
- Mentor teams on AI product management and best practices
Basic Qualifications:
- Bachelor's degree in Engineering, Computer Science, or equivalent
- 10-15 years of experience with significant product management exposure
- 5+ years Experience leading large-scale AI/ML or cloud-based product initiatives
- 5+ years Strong understanding of LLMs, agentic systems, RAG pipelines, and MLOps
- 5+ years Ability to engage deeply with engineering teams on technical topics
- Strong communication skills for technical and non-technical stakeholders
- Experience working in fast-paced, cross-functional environments
- Strong analytical and data-driven decision-making skills
- Proven ability to influence without direct authority
Nice to Have:
- Experience working with enterprise-scale production environments
- Familiarity with observability and incident management tools
- Experience in prompt engineering and LLM evaluation frameworks
- Exposure to AI safety, governance, and compliance standards
- Prior experience mentoring product managers or leading product communities
- Knowledge of cloud platforms such as AWS or Google Cloud in AI contexts
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
Company Overview:
Req ID: 369449
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
NTT DATA's Client is currently seeking an AI Product Manager to join their team in Dallas, Jersey City or Salt Lake City!
About Your Role:
As an AI Product Manager, you will define the strategy, roadmap, and execution for Generative AI agentic solutions. Your mission is to reduce risk and cost in complex production environments by translating operational challenges into innovative AI-driven solutions. You will collaborate with engineering, production support, and application teams to deliver high-impact, reliable, and safe AI products.
Day to Day Job Duties:
- Define product vision, strategy, and roadmap for agentic AI systems
- Translate user pain points into product requirements, user stories, and success metrics
- Lead end-to-end lifecycle for LLM-based products from discovery to iteration
- Establish evaluation frameworks for LLMs and prioritize RAG pipelines, prompt engineering, and validation loops
- Drive integrations with observability, incident management, and deployment systems
- Conduct user research and translate production challenges into roadmap priorities
- Own AI safety, governance, reliability, and fallback strategies
- Define and monitor KPIs such as cost, latency, and user satisfaction
- Own data and knowledge strategy including RAG pipeline and data validation
- Lead product design reviews and promote data-driven experimentation
- Mentor teams on AI product management and best practices
Basic Qualifications:
- Bachelor's degree in Engineering, Computer Science, or equivalent
- 10-15 years of experience with significant product management exposure
- 5+ years Experience leading large-scale AI/ML or cloud-based product initiatives
- 5+ years Strong understanding of LLMs, agentic systems, RAG pipelines, and MLOps
- 5+ years Ability to engage deeply with engineering teams on technical topics
- Strong communication skills for technical and non-technical stakeholders
- Experience working in fast-paced, cross-functional environments
- Strong analytical and data-driven decision-making skills
- Proven ability to influence without direct authority
Nice to Have:
- Experience working with enterprise-scale production environments
- Familiarity with observability and incident management tools
- Experience in prompt engineering and LLM evaluation frameworks
- Exposure to AI safety, governance, and compliance standards
- Prior experience mentoring product managers or leading product communities
- Knowledge of cloud platforms such as AWS or Google Cloud in AI contexts
About NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.
NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.
See all 361+ AI Product Owner jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Owner roles.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Product Owner
Frame your credentials for EB-2 eligibility
PERM petitions for AI Product Owner roles typically require a bachelor's degree plus five years of progressive experience, or a master's in computer science, data science, or a related field. Document your advanced degree or equivalent credentials before targeting sponsors.
Identify employers with active PERM filing history
Search DOL's OFLC Wage Search to find companies that have filed PERM applications for AI or product roles. Employers with recent certified LCAs for similar titles are far more likely to sponsor new candidates than those with no filing history.
Use Migrate Mate to filter green card sponsoring roles
Filter AI Product Owner openings by employers who have sponsored green cards before. Migrate Mate surfaces this PERM filing history by employer and role so you're not applying blindly to companies that have never initiated a labor certification.
Align your O*NET profile before the PERM job description is drafted
The DOL audits PERM job descriptions against O*NET's AI and product management occupation profiles. Ask your employer to include specific requirements tied to AI systems, machine learning roadmaps, or cross-functional product delivery so the role clearly meets specialty occupation standards.
Negotiate the I-140 filing timeline into your offer
PERM certification alone can take 12 to 18 months. Once PERM is approved, push for your employer to file the I-140 petition with USCIS promptly rather than deferring it, which locks in your priority date and starts the clock toward adjustment of status.
Understand how your country of birth affects your green card wait
EB-2 and EB-3 priority dates are current for most nationalities, but applicants born in India or China face multi-year backlogs regardless of role. Confirm your country of birth's cutoff date in the USCIS Visa Bulletin before accepting a sponsorship offer.
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Find AI Product Owner JobsAI Product Owner Green Card Sponsorship: Frequently Asked Questions
Does an AI Product Owner role qualify for EB-2 or EB-3 sponsorship?
Most AI Product Owner positions qualify for both EB-2 and EB-3 depending on how the employer drafts the job requirements. EB-2 applies when the role requires an advanced degree or the equivalent, while EB-3 covers positions requiring a bachelor's degree plus experience. Because many employers define AI Product Owner roles around a master's in computer science, data science, or a related field, EB-2 is common, but EB-3 remains a valid path when degree requirements are set at the bachelor's level.
How does PERM green card sponsorship differ from H-1B for this role?
H-1B grants temporary work authorization for three years, is subject to an annual lottery, and must be renewed. PERM-based green card sponsorship leads to permanent residency with no annual cap at the EB-3 level for most nationalities, no renewal requirement, and no lottery. The process is longer, typically two to four years from PERM filing to a green card for applicants born outside India or China, but the outcome is permanent status rather than a visa tied to a single employer.
What does the PERM labor certification process involve for AI Product Owner roles?
PERM requires your employer to conduct a supervised recruitment campaign demonstrating that no qualified U.S. worker applied for the role. The DOL reviews the job description, prevailing wage determination, and recruitment records before certifying the application. For AI Product Owner roles, the job description must specify technical requirements tied to AI systems or machine learning product delivery, not just general product management duties, to satisfy specialty occupation standards during any audit.
How can I find employers who have sponsored green cards for AI Product Owner roles before?
DOL publishes certified PERM applications through OFLC disclosure data, which shows which employers have successfully sponsored workers in AI and product management roles. Reviewing this data manually requires downloading and filtering large files. Migrate Mate aggregates this information by job title and employer so you can quickly identify companies with verified green card sponsorship history for roles matching AI Product Owner without sorting through raw government datasets.
Can I change employers after my I-140 is approved but before I get my green card?
Yes. Once your I-140 petition has been approved and your priority date is current or your case has been pending for 180 days or more, portability rules under AC21 allow you to change to a similar role in the same or a comparable occupation without restarting the PERM process. For AI Product Owner candidates, the new role must involve similar AI product leadership duties. Your priority date is preserved, which matters significantly if you were born in a high-backlog country.
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