AI Product Engineer Jobs in USA with Visa Sponsorship
AI Product Engineers are strong H-1B visa candidates, the role requires a computer science or engineering degree and sits squarely within USCIS specialty occupation criteria. Employers at AI-focused startups and established tech companies regularly sponsor H-1B, O-1 visa, and L-1 visas for this title. For detailed occupation requirements, see the O*NET profile.
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INTRODUCTION
Insurance touches people during some of the most challenging moments in their lives. Hi Marley is on a mission to transform how the P&C industry communicates, making those moments faster, easier, and more empathetic for carriers and the customers they serve. We build AI-powered software that keeps everyone in the claims conversation informed and connected. If you believe insurance can combine operational excellence and automation with a human touch, we'd love to meet you.
As we continue to grow, we're looking for a Principal AI Product Engineer to be a foundational hire on our new AI Operations team. This is an internal-facing role: your job is to build the infrastructure and tools that let every Hi Marley department work together like a beautiful orchestra. That means understanding how data flows through the company and exposing it at the right level for the right audience; designing our internal knowledge systems, the surfaces by which we make decisions, and the patterns by which teams build and design agents; and making the call — over and over — about what should be centralized and what should live with the team. You'll work alongside a Builder — Technical Infrastructure counterpart who owns the deeper technology spine. Together, you're a small team with a very large scope.
The shape of this person is rare: design taste paired with the ability to ship. You live in Claude Code, Codex, and Cursor — you don't just produce mocks, you build the thing. There's a strong product lean to this role too: you'll be taking a steady stream of signals and requests from across Hi Marley, learning how to prioritize, and managing a portfolio of small, well-shaped internal products at once. If that's you, and you want to set the bar for what great internal experience looks like at a modern insurance company, this is the role for you. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 2-3 days each week.
What You'll Do:
- Build the internal operating fabric of Hi Marley: Design and ship the tools every department uses — internal knowledge systems, decision-making surfaces, dashboards, catalogs, agent-builder UIs. The thing you build is what turns Hi Marley into an orchestra rather than a set of soloists.
- Get the data layer right: Understand how data flows across the company — what lives where, what should be centralized, what should stay with the team — and design experiences that expose the right slice to the right audience.
- Design how we build and ship internal agents: Create the surfaces and patterns by which Hi Marley teams compose, register, and trust the agents they author. Discoverable, governable, well-crafted.
- Run a portfolio of small internal products: Take in requests from across the company, prioritize by leverage, sequence the work, and ship. This isn't one big roadmap; it's many small ones, held together with taste.
- Hold the centralized-vs-decentralized balance: One of the harder calls in this role is when a capability belongs to the platform vs. when it belongs to a team. You'll make those calls in collaboration with engineering and ops leadership.
- Partner with the Builder — Technical Infrastructure: They own the platform spine; you own the experience layer on top. You'll be merging each other's PRs.
- Use the tools: You live in Claude Code, Codex, and Cursor (or the next thing if it's better when you read this). You ship at the velocity of a small team because your craft is shaped by agentic coding.
What We're Looking For:
- Hybrid design + engineering chops: You have strong design instincts and you ship production code. You sketch, code, and merge your own PRs — no handoff.
- Modern frontend stack: Strong with React, Next.js, TypeScript, Tailwind, shadcn/ui (or equivalent). Comfortable touching the backend when the boundary is unclear.
- Lives in agentic coding tools: Claude Code, Codex, Cursor — these are your default environment. You don't just "use AI to help"; your craft is shaped by these tools.
- Product instinct, not just craft: You can hold ten internal asks in your head, prioritize by leverage, and ship a coherent portfolio of small, well-shaped products. Comfort with ambiguity and with saying no.
- Taste as a moat: You make UI judgment calls beyond what's in the spec — spacing, motion, information density — because you've internalized why those things matter.
- Systems thinking about data and tools: You think in terms of where data lives, what to centralize vs. decentralize, and how to expose it at the right level. You design with the data architecture in mind, not just the screen.
- Communication and craft: You can present your work to engineers, executives, and customers, and explain why you made a decision in language that matches the audience.
- Bonus — AWS familiarity: Hi Marley is AWS-only (Cognito, Bedrock, CDK). You don't need to be deep here on day one — your infra counterpart owns the spine — but be willing to go deep when needed.
Compensation, Benefits & Perks:
At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$152,000–$283,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It's most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role.
In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including:
- Equity grants for all employees
- A 4% matching 401(k) program
- Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week
- Monthly wellness stipend
- Paid parental leave
- A flexible vacation policy - we all work hard and take time when we need it
Who We Are:
At Hi Marley, our culture is built on three core values that every employee embodies:
- Max Courage – We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk.
- Be Humble – We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere.
- Ubuntu ("I am because we are") – We believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose, we can achieve our fullest potential — together.
Life at Hi Marley:
Life at Hi Marley is shaped by collaboration, learning, and genuine connection. We're proud to foster an environment where people can do their best work, feel supported, and grow alongside a team that celebrates both individuality and shared purpose.
- A fun, lively startup culture that embraces creativity and innovation
- Core values-based leadership that guides our decision-making and daily interactions
- A culture of engagement, diversity, inclusion, and belonging — everyone's voice matters
- Flexible, hybrid work environment that values balance and trust
- Ample opportunities to learn, take on new challenges, and make an impact in a fast-growing organization
- Meaningful work that directly supports our mission to help people and organizations communicate with empathy and clarity
Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves.
Hi Marley participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please review the documents under "E-Verify Poster" here: https://e-verify.uscis.gov/web/OnlineResources.aspx
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Product Engineer
Target AI-native companies first
Companies building AI products as their core business, not as a side initiative, file more LCAs for this title and have established sponsorship pipelines. Their legal teams already know the H-1B process, which reduces friction and delays for new hires.
Align your degree field to the role
USCIS requires a direct relationship between your degree and the job. Computer science, software engineering, and machine learning degrees map cleanly. A business degree, even with a technical minor, may trigger an RFE for this specialty occupation title.
Document your AI-specific experience before interviews
Prepare a concise summary of your product contributions: models you've shipped, inference infrastructure you've built, and measurable outcomes. Employers assessing sponsorship risk want evidence you can contribute immediately, which shortens internal approval timelines.
Understand the H-1B lottery timeline early
Registrations open in March for an October 1 start date. If you're on OPT, confirm your STEM extension eligibility. Missing the lottery window means waiting a full year, so plan your job search around the annual H-1B registration cycle.
O-1A is a realistic alternative for experienced engineers
If you have published research, patents, open-source projects with significant adoption, or a track record of leading AI initiatives, the O-1A visa bypasses the lottery entirely. Immigration counsel can assess your qualifications based on documented achievements.
Clarify sponsorship scope before accepting an offer
Some employers will file an H-1B petition but won't cover premium processing or legal fees. Others offer full sponsorship through green card. Ask specifically what's included so you can evaluate the offer with complete information before signing.
Frequently Asked Questions
Does AI Product Engineer qualify as a specialty occupation for H-1B purposes?
Yes. USCIS consistently approves H-1B visa petitions for AI Product Engineer roles when the position requires a bachelor's degree or higher in computer science, software engineering, or a closely related field. The key is that the job description must demonstrate the degree is a minimum requirement, not a preference. Generic language like 'degree preferred' rather than 'degree required' has triggered RFEs in this category, so the offer letter and LCA documentation matter significantly.
Which visa types do employers commonly use to sponsor AI Product Engineers?
H-1B is the most common path, particularly for candidates already in the U.S. on F-1 OPT or STEM OPT. O-1A is increasingly viable for engineers with notable research publications, patents, or open-source contributions that demonstrate extraordinary ability. L-1B works for engineers transferring from a foreign office of the same company. Candidates from Australia may also qualify for the E-3 visa, which has no lottery and significantly faster processing.
What degree field do I need to get sponsored as an AI Product Engineer?
Computer science, software engineering, electrical engineering, or machine learning are the most defensible degree fields for this title. Data science degrees are generally accepted. A degree in a non-technical field, even with extensive self-taught experience, creates sponsorship risk because USCIS evaluates the formal credential, not practical skill. If your degree field is adjacent rather than direct, a credential evaluation and employment history letter from an expert witness can strengthen the petition.
Are AI Product Engineer roles harder to get sponsored for at startups versus large tech companies?
Large companies have dedicated immigration teams and established H-1B processes, which makes the internal approval faster and the petition more polished. Early-stage startups often sponsor successfully too, but they may lack prior LCA filings, which USCIS treats as a neutral factor, not a negative one. The real risk at startups is financial stability: USCIS scrutinizes whether the employer can pay the prevailing wage for the full petition period. Series A and later-stage startups with clear funding runway typically sponsor without difficulty.
Where can I find AI Product Engineer roles that offer visa sponsorship?
Migrate Mate lists AI Product Engineer positions from employers who have confirmed they sponsor work visas, so you're not filtering through hundreds of roles that don't apply to your situation. The platform is built specifically for international candidates, which means job listings surface sponsorship details that generic job boards omit. Browsing by role title on Migrate Mate shows you which companies are actively hiring and willing to sponsor right now.
What is the prevailing wage requirement for sponsored AI Product Engineer 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.