AI Product Manager Jobs in USA with Visa Sponsorship
AI Product Managers are in high demand from H-1B visa and O-1A sponsors alike. Most roles qualify as specialty occupations under H-1B rules, and the technical depth of the work makes strong O-1A cases more achievable than in many other product disciplines. For detailed occupation requirements, see the O*NET profile.
Find AI Product Manager JobsOverview
Showing 5 of 12,433+ AI Product Manager jobs










See all 12,433+ AI Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Manager roles.
Get Access To All Jobs
Company Description
SGS is the world’s leading Testing, Inspection and Certification company. We operate a network of over 2,500 laboratories and business facilities across 115 countries, supported by a team of over 100,000 dedicated professionals. With more than 145 years of service excellence, we combine the precision and accuracy that define Swiss companies to help organizations achieve the highest standards of quality, compliance and sustainability.
Our brand promise – “when you need to be sure” – underscores our commitment to trust, integrity and reliability, enabling businesses to thrive with confidence. We proudly deliver our expert services through the SGS name and a portfolio of trusted specialized brands, including Applied Technical Services, Brightsight, Bluesign and Nutrasource.
Job Description
We're reimagining a legacy system from the ground up.
As the Founding Product & Platform Engineer, you'll define the architecture, tooling, engineering culture and development practices behind the next generation of SGS digital products. You'll be equally comfortable designing distributed systems, building customer-facing experiences, creating cloud platforms and writing production code.
This is not a traditional architect role. We are looking for a builder.
You'll lead by example, making key technical decisions through hands-on delivery rather than governance. You'll help create the products that drive business impact while establishing the platform capabilities, reusable services and engineering standards that allow a small team to deliver at scale.
If you're excited by greenfield environments, ambiguity, ownership and the opportunity to shape something from day one, we'd love to hear from you.
The Mission
Your dual mission is to:
Build exceptional digital products:
Lead the architecture and delivery of our most ambitious customer-facing solutions, owning everything from frontend experiences to backend services and cloud infrastructure.
Build the engineering platform behind them:
Create the tooling, deployment pathways and reusable building blocks that allow engineers to move quickly, safely and independently.
As successful patterns emerge, you'll transform them into shared capabilities that accelerate delivery across the organisation.
Key Responsibilities
- Lead by Building: Act as the technical lead on our most important initiatives, architecting through code and setting the standard for engineering excellence.
- Own the Full Stack: Design and develop solutions across frontend, backend, cloud infrastructure and deployment pipelines.
- Build the Paved Road: Shape our platform (CI/CD, Kubernetes, IaC, observability) so other engineers ship faster and more safely.
- Turn Solutions into Reusable Capabilities: Identify successful patterns and convert them into shared services, frameworks, libraries and architectural standards.
- Multiply Velocity: Continuously remove friction from the development lifecycle through automation, standardisation and thoughtful platform design.
- Mentor and Influence: Partner with engineers, product leads and designers to raise technical standards and encourage a culture of pragmatic, high-quality delivery.
Qualifications What we’re looking for:
- Full Stack Mastery: Expert-level React/TypeScript on the frontend, and deep experience building distributed backends in Go, Python, or TypeScript.
- Cloud & IaC: Hands-on, architectural-level experience with a major cloud (GCP, AWS) and Terraform. You don’t just use it; you architect with it.
- Containers & CI/CD: Strong knowledge of Docker, Kubernetes, and modern CI/CD pipelines built from scratch (GitHub Actions, GitLab CI).
- Systems Thinking: Proven ability to design scalable, resilient and observable systems.
- Product Mindset: Experience working closely with Product and Design teams to deliver solutions that users genuinely value.
- Observability & Quality: Practical understanding of monitoring, tracing, testing and operational excellence, including tools such as Prometheus, Grafana and Jaeger.
Who You Are
- You have 10+ years of experience, with strong backgrounds in both product engineering and platform/SRE work.
- You are a builder first. You don’t run architecture review boards; you write the code that makes them unnecessary.
- You believe the best architecture is the simplest one that works, and that great products and great platforms are built by the same kind of mindset.
- You measure your success by the velocity, autonomy, and pride of the engineers around you.
Additional Information Why SGS?
- Opportunity to work with a global leader in inspection, verification, testing, and certification.
- Collaborative and inclusive work environment.
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
Join Us: At SGS, we are dedicated to fostering an open, friendly, and supportive culture that thrives on teamwork. We value diversity and provide endless opportunities to learn, grow your expertise, and fulfill your potential.
See all 12,433+ AI Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Manager roles.
Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Manager
Frame your degree as a technical match
USCIS requires a specific connection between your degree field and the role. Computer science, engineering, or cognitive science degrees map cleanly. If your degree is in business or a softer field, emphasize any technical coursework and pair it with AI-specific experience.
Lead with measurable AI outcomes
Sponsors want to see that you've shipped AI products, not just managed teams adjacent to AI. Quantify model performance improvements, adoption rates, or revenue impact. Concrete outcomes make your petition stronger and your offer negotiation easier.
Target companies with established AI infrastructure
Large technology companies and AI-native startups with dedicated ML teams file H-1B and O-1A petitions regularly. They have legal teams familiar with specialty occupation arguments for product roles, which reduces rejection risk and speeds up the process.
Build a case for O-1A eligibility early
Published research, conference talks, open-source contributions, or industry recognition can satisfy O-1A criteria. AI product managers who present at NeurIPS or write influential papers have a credible path to extraordinary ability classification without lottery risk.
Clarify the technical depth of the role upfront
USCIS scrutinizes product manager petitions more than pure engineering roles. Make sure your job description explicitly requires a technical degree and involves hands-on work with model evaluation, data pipelines, or AI system architecture rather than general product strategy.
Address visa status during offer negotiation, not after
Sponsors who are unfamiliar with AI PM sponsorship may hesitate once an offer is extended. Raise your visa needs early, explain the process briefly, and make it clear you've navigated this before. Prepared candidates reduce perceived employer risk significantly.
Frequently Asked Questions
Does an AI Product Manager role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases, but the job description matters. USCIS requires that the role normally requires at least a bachelor's degree in a specific technical field. AI Product Manager roles that explicitly require computer science, engineering, or a related technical degree and involve work with machine learning systems, model evaluation, or AI architecture hold up well under scrutiny. Generic product management roles with AI in the title but no technical degree requirement are more likely to face a Request for Evidence.
Which visa types do employers typically sponsor for AI Product Managers?
H-1B visa is the most common path, though it requires winning the annual lottery. O-1A is a strong alternative for candidates with published research, conference presentations, or recognized contributions to the AI field, since it has no cap or lottery. Some candidates on F-1 OPT, especially those with STEM-designated degrees, use the 24-month STEM extension to buy time while a sponsor files an H-1B visa petition. Browse Migrate Mate to find employers actively sponsoring these visa types for AI product roles.
What degree do I need to qualify for H-1B sponsorship as an AI Product Manager?
A bachelor's degree or higher in computer science, electrical engineering, information systems, or a closely related technical field is the strongest foundation. Degrees in business or general management are harder to tie to an AI PM role under USCIS specialty occupation standards. If your degree is non-technical, a graduate degree in AI, data science, or human-computer interaction can close the gap. Work experience alone rarely substitutes without an education credential in a relevant field.
How do AI Product Manager H-1B petitions perform compared to other product roles?
AI-focused product roles tend to fare better than general product management petitions because the technical requirements are easier to demonstrate. USCIS approval rates for product manager petitions overall have historically been lower than for software engineering, but AI PM roles with strong technical job descriptions and degree requirements hold up better. Employers with experienced immigration counsel who can document the technical nature of AI product work see materially fewer Requests for Evidence.
Can I get sponsored as an AI Product Manager if I'm transitioning from a non-technical background?
It's harder, but not impossible. The key is whether your job offer requires a technical degree. If the employer is willing to document that the role demands computer science or engineering knowledge, and you hold a relevant advanced degree or can demonstrate equivalent technical expertise, a petition can succeed. Roles at AI-native companies with well-defined technical requirements are more defensible than generalist product roles at companies that added 'AI' to the title recently.
What is the prevailing wage requirement for sponsored AI Product Manager jobs?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.