Green Card Full Stack Product Engineer Jobs
Full Stack Product Engineer roles qualify for employment-based green card sponsorship under EB-2 or EB-3, depending on your degree level and the position's requirements. Your employer files a PERM labor certification with DOL before petitioning USCIS, permanently anchoring your U.S. career rather than requiring repeated visa renewals.
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Get Access To All JobsAbout Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.
Position Overview
We’re looking for a Senior Product Engineer—a single, broad role that combines domain understanding, technical fluency, and architectural judgment, leveraging AI tools to deliver end-to-end across the stack. Product Engineers own features from concept through production: shaping requirements with business partners, designing the architecture, building the UI and backend, and integrating data and services.
This isn’t a traditional “full-stack developer” role. It’s a role for engineers who want to own outcomes, not just tickets—who can sit with a business user, understand the problem, make sound architectural decisions, and deliver a working solution that’s production-ready and maintainable.
What You’ll Do
- Own features end-to-end: from discovery and requirements shaping through architecture, implementation, testing, and production deployment.
- Partner directly with business stakeholders to understand workflows, pain points, and desired outcomes—then translate that into well-scoped, deliverable solutions.
- Make sound architectural decisions: choose the right patterns, data models, and integration approaches based on business context and technical tradeoffs.
- Build across the stack: backend services (Java/Spring), frontend components (Vue.js), API contracts, and data integrations.
- Leverage modern AI development tools (Claude Code, MCP, LLM APIs) to accelerate delivery—prototyping, code generation, analysis, and testing—while maintaining strong engineering judgment and validation.
- Contribute to platform quality: code reviews, testing discipline, observability, and documentation where it adds leverage.
- Mentor mid-level engineers through design conversations, pairing, and code review—raising the team’s ability to deliver independently.
- Navigate ambiguity: make pragmatic decisions with incomplete information and adjust course as understanding deepens.
What We’re Looking For
- 8+ years of software engineering experience with demonstrated ability to deliver features end-to-end across backend and frontend.
- Strong proficiency in Python and Java, with sound architectural instincts (when to build vs. reuse, how to decompose services, when to simplify).
- Fluency with modern AI development tools (Claude Code, MCP servers, LLM APIs) and an ability to use them productively while maintaining quality and correctness.
- Experience working directly with business stakeholders—not just taking tickets, but shaping requirements and validating solutions.
- The business context to make the right tradeoffs: you understand that technical decisions have business consequences and vice versa.
- Strong communication skills: you can explain technical decisions to non-technical partners and advocate for engineering quality without creating friction.
- A builder’s mindset: you prefer shipping working software over perfecting designs, while maintaining the quality bar for production systems.
- Experience in financial services, investment management.
Nice to Have
- Familiarity with Vue.js or a modern frontend framework (React acceptable if you can ramp quickly on Vue).
- Experience with event-driven architecture, workflow orchestration, or data pipeline design.
- A track record of building internal tools or platforms that make other teams more productive.
Location: New York, New York
Salary: 180k - 220k + equity
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection.
- We are AI forward: We help our clients build the future of AI and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
About Turing
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage.
Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT.
Position Overview
We’re looking for a Senior Product Engineer—a single, broad role that combines domain understanding, technical fluency, and architectural judgment, leveraging AI tools to deliver end-to-end across the stack. Product Engineers own features from concept through production: shaping requirements with business partners, designing the architecture, building the UI and backend, and integrating data and services.
This isn’t a traditional “full-stack developer” role. It’s a role for engineers who want to own outcomes, not just tickets—who can sit with a business user, understand the problem, make sound architectural decisions, and deliver a working solution that’s production-ready and maintainable.
What You’ll Do
- Own features end-to-end: from discovery and requirements shaping through architecture, implementation, testing, and production deployment.
- Partner directly with business stakeholders to understand workflows, pain points, and desired outcomes—then translate that into well-scoped, deliverable solutions.
- Make sound architectural decisions: choose the right patterns, data models, and integration approaches based on business context and technical tradeoffs.
- Build across the stack: backend services (Java/Spring), frontend components (Vue.js), API contracts, and data integrations.
- Leverage modern AI development tools (Claude Code, MCP, LLM APIs) to accelerate delivery—prototyping, code generation, analysis, and testing—while maintaining strong engineering judgment and validation.
- Contribute to platform quality: code reviews, testing discipline, observability, and documentation where it adds leverage.
- Mentor mid-level engineers through design conversations, pairing, and code review—raising the team’s ability to deliver independently.
- Navigate ambiguity: make pragmatic decisions with incomplete information and adjust course as understanding deepens.
What We’re Looking For
- 8+ years of software engineering experience with demonstrated ability to deliver features end-to-end across backend and frontend.
- Strong proficiency in Python and Java, with sound architectural instincts (when to build vs. reuse, how to decompose services, when to simplify).
- Fluency with modern AI development tools (Claude Code, MCP servers, LLM APIs) and an ability to use them productively while maintaining quality and correctness.
- Experience working directly with business stakeholders—not just taking tickets, but shaping requirements and validating solutions.
- The business context to make the right tradeoffs: you understand that technical decisions have business consequences and vice versa.
- Strong communication skills: you can explain technical decisions to non-technical partners and advocate for engineering quality without creating friction.
- A builder’s mindset: you prefer shipping working software over perfecting designs, while maintaining the quality bar for production systems.
- Experience in financial services, investment management.
Nice to Have
- Familiarity with Vue.js or a modern frontend framework (React acceptable if you can ramp quickly on Vue).
- Experience with event-driven architecture, workflow orchestration, or data pipeline design.
- A track record of building internal tools or platforms that make other teams more productive.
Location: New York, New York
Salary: 180k - 220k + equity
Values
- We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value.
- We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection.
- We are AI forward: We help our clients build the future of AI and implement it in our own roles and workflow to amplify productivity.
Advantages of joining Turing
- Amazing work culture (Super collaborative & supportive work environment; 5 days a week)
- Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience)
- Competitive compensation
- Flexible working hours
Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
For applicants from the European Union, please review Turing's GDPR notice here.
See all 414+ Green Card Full Stack Product Engineer Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship as a Full Stack Product Engineer
Align your resume to the PERM job description
The PERM labor certification locks in the exact job duties and minimum requirements your employer advertises. Make sure your resume matches those requirements precisely, because any credential gap discovered later can stall your I-140 petition.
Target employers with active PERM filing history
Not every tech company sponsors green cards for product engineers. Filter your job search to companies that have filed PERM applications for software or full-stack roles before, since those employers already understand the process and have immigration counsel in place.
Search green card jobs using Migrate Mate
Migrate Mate surfaces Full Stack Product Engineer positions filtered specifically by green card sponsorship history. Use it to identify employers whose PERM filing patterns match your target role, saving months of outreach to companies that don't sponsor.
Verify your degree tier before targeting EB-2
EB-2 requires a U.S. master's degree or foreign equivalent, or a bachelor's plus five years of progressive experience. If your credentials fall short of EB-2, your employer can file under EB-3 instead, with no annual cap differences affecting most nationalities outside India and China.
Clarify the priority date timeline before accepting an offer
Your green card clock starts when DOL receives the PERM application, not when you sign your offer. Ask your prospective employer whether they file PERM shortly after onboarding or only after a waiting period, since that gap directly affects when you can adjust status.
Confirm the employer's prevailing wage compliance approach
DOL requires your offered wage to meet or exceed the prevailing wage for your specific SOC code and work location. Cross-check the posted salary against the OFLC Wage Search for your metro area to confirm the role is positioned at Level II or higher before you apply.
Green Card Full Stack Product Engineer: Frequently Asked Questions
Does a Full Stack Product Engineer role qualify for EB-2 or EB-3 green card sponsorship?
It depends on how the employer defines the minimum requirements. If the position requires a master's degree or a bachelor's plus five years of progressive experience, the employer can file under EB-2. Roles requiring only a bachelor's degree qualify under EB-3. Many employers write the job description to support EB-2 for senior-level full-stack roles, giving you a faster path if your nationality faces a backlog.
How does the PERM green card process differ from H-1B sponsorship for this role?
H-1B visa sponsorship is temporary, capped at 65,000 slots annually, and requires lottery selection. PERM-based green card sponsorship has no annual cap at the petition level, leads to permanent residency rather than a renewable status, and doesn't depend on a random draw. The tradeoff is time: the PERM labor certification and I-140 petition add one to three years before you can adjust status, compared to H-1B approval in a matter of months.
How can I find Full Stack Product Engineer jobs that include green card sponsorship?
The most direct method is searching platforms that filter specifically by sponsorship history rather than relying on job postings that claim sponsorship without verification. Migrate Mate filters Full Stack Product Engineer roles by employers with documented PERM and I-140 filing activity, so you spend time applying to companies that have already committed to sponsoring candidates in this role category.
What happens to my green card application if I change employers mid-process?
If you leave before your I-140 is approved, the entire PERM process restarts with your new employer. Once your I-140 is approved and you've waited 180 days in the adjustment of status stage, you can port to a new employer in a same or similar occupational role under AC21 portability rules. For full-stack engineers, 'same or similar' typically covers software development, product engineering, and related technical roles.
Can I check whether a job's salary meets DOL prevailing wage requirements before applying?
Yes. DOL publishes wage levels by occupation code and metro area through the OFLC Wage Search tool. Full Stack Product Engineer roles typically fall under SOC code 15-1256 (Software Developers) or a related classification. If the posted salary in the job description is below the Level II prevailing wage for that location, the employer will need to adjust compensation before filing PERM, which can delay your timeline.