Full Stack Product Engineer Jobs in USA with Visa Sponsorship
Full Stack Product Engineers are among the most consistently sponsored roles in the U.S. tech industry. Employers regularly file H-1B visa, O-1, and E-3 visa petitions for this title, and the specialty occupation classification is well-established, making visa approval rates strong for qualified candidates. For detailed occupation requirements, see the O*NET profile.
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✨ TLDR ✨
Join Knoetic ($50MM+ raised from Tier 1 VCs like Accel + Menlo + 100s of angels) as we launch an incredible series of new AI products.
- You’ll join a newly-formed, high-intensity AI product pod. You’re not joining a well-oiled machine; rather, you’re going to help us build the machine in this small, elite AI pod.
- You'll own features end-to-end as an IC, ship at incredible velocity, and have direct impact on a product used by 1000s of C-level executives from Box, Brex, Notion, OpenAI, Figma, and more.
- You must be an AI-native engineer who’s customer-centric. That means (1) you’re easily a top 10% user of tools like Cursor, Claude Code, Codex, and more, and (2) you love creating delightful moments for our customers, whatever it takes.
❤️ Knoetic AI + our Chief People Officer network ❤️
Our mission is to build the “Second Brain” for every Chief People Officer & their HR team. We're backed by $50MM from Accel, EQT, Menlo, and 100s of legendary angels (Adam Grant, Shreyas Doshi, etc).
We're a beautiful blend of consumer + enterprise product that serves 1000s of C-level execs from companies like Box, Figma, dbt labs, Lyft, Notion, and OpenAI.
You can learn more about our “right brain” (CPOHQ) and ”left brain” (AI & People Analytics) here.
✨ Overview ✨
We're looking for a Fullstack Product Engineer who wants to:
- Own features end-to-end, from deeply understanding the customer problem to shipping the feature and driving its usage & adoption.
- Work across the entire stack (React, TypeScript, NestJS, PostgreSQL).
- Ship fast & high quality; you believe speed vs. quality is a false choice, and in fact you can increase both in lockstep.
- Work directly with customers: from hopping on calls, to debugging their problems, and then iterating based on real feedback.
- Craft positive-sum engineering practices that increase velocity.
- Become one of the first 3 engineers in our AI & Analytics pod.
This is only an in-person role (4-5 days/week) in NYC. We have a beautiful office in a 1,000+ ft skyscraper in the heart of Hudson Yards, New York.
✨ About you & the role ✨
- You have over-the-top ownership mindset. When something is your responsibility, it's truly yours. You understand it deeply, you're accountable for it in production, and you don't wait to be told what to do next. When something breaks, you're already investigating far before anyone asks.
- You enjoy working with customers. Beyond just writing code, you’re deeply energized by understanding who you're building for. You love customer calls, and seeing how people actually buy & use what you build.
- You are an AI-native engineer who’s far more productive because of AI. You live in Cursor, Claude Code, or similar tools. You can trade notes with us on prompting strategies, context management, and when to trust vs. verify AI output. You're 2-3x more productive because of how you use AI, and you have concrete proof points to back it up.
- You’re driven to make things better, not just point at what's broken. You notice problems, but in a productive, positive way that includes "here's how I'd fix it." You'd rather propose an imperfect solution than complain or wait for someone else.
- You can disagree and then commit… happily. You push back when you see a better way. But once the decision is made, you execute like it was your idea. No sulking, no relitigating, no behind-the-back undermining. You’re a team player in the end & you embrace the decision as if it were your own (because one day, you’ll be on the other side of the table too!)
- You believe quality enables speed. You've seen what happens when teams skip tests and cut corners. The slowdown comes later, and it's worse. You write tests not because someone told you to, but because you want to deploy with confidence, and believe in quality & craft.
- You communicate before it's a problem. You surface blockers early. You ask for help before you've wasted a day stuck. You don't surprise people with missed deadlines, because of your proactivity.
- You review code like it matters. You leverage AI to catch bugs and suggest improvements, but you know where human judgment is essential. You don't rubber-stamp PRs because you're busy. Again… because craft & quality matters.
✨ What you'll do ✨
- Ship features end-to-end from problem understanding to production, across frontend and backend.
- Talk to customers regularly: join calls, gather feedback, and translate their problems into solutions.
- Write code that lasts with tests, edge case handling, and clear documentation.
- Review code thoughtfully and hold the bar on quality for the team.
- Debug production issues and make sure they don't happen again.
- Help cultivate our engineering culture as one of the founding engineers of this pod.
✨ Candidate Criteria ✨
- You have 2-6 years building and shipping product. You've worked on real products with real users. You've felt the pain of production issues and learned from them.
- You're strong across the stack. You can build a React component, write a backend service, and debug a database query. You might be stronger in one area, but you're not helpless in any of them.
- You genuinely enjoy customer interaction. You've been on customer calls before and found them valuable, not painful. You understand that great products come from deeply understanding user problems.
- Strong SQL knowledge is a plus. We build querying engines on top of Snowflake data—if you're comfortable writing and optimizing complex queries, that's a big advantage.
- You're AI-native and AI-augmented. Cursor, Claude Code, AI-assisted reviews—these have fundamentally changed how you work. You're constantly experimenting with new AI tools and have opinions on what's worth adopting. If you're still coding the way you did in 2022, this isn't the right fit.
- You have an owner's mindset. Self-driven, resourceful, ready to build and be in the trenches. You don't need to be managed; you need to be pointed at problems.
- You've worked in high-intensity environments. Startups, high-growth teams, or any context where speed and quality both mattered.
- You're a positive influence on every team you've been on. Low ego, high standards.
✨ Tech Stack ✨
- Frontend: React, TypeScript, Vite
- Backend: NestJS, TypeScript
- Data: PostgreSQL, Redis
- Infrastructure: AWS, GitHub Actions
- Observability: Sentry, New Relic
- AI Dev Tools: Cursor, Claude Code (or similar—we want to learn from you too)
Nice to have: SQL proficiency and experience working with data warehouses (we use Snowflake for analytics).
We don't expect you to know everything. We care more about your ability to learn and adapt than your familiarity with our exact stack.
✨ WHAT WE BELIEVE ✨
- In this era of AI, we can (and will) build a billion-dollar company with a few dozen employees. This means every spot on this ship is sacred, and we will have an intensely high bar on recruiting (no hire > mediocre hire).
- AI-augmented engineering is the new baseline. Engineers who aren't leveraging AI tools are already falling behind. We expect everyone to be constantly improving how they use AI to ship faster and better.
- Great products come from talking to customers. We're not building in a vacuum. Engineers here talk to customers, understand their problems deeply, and build solutions that actually matter.
- Quality is speed. Shipping fast doesn't mean shipping broken. Code without tests, missing error handling, or unclear logic creates drag that compounds over time. We move fast by building things that don't need constant fixing.
- Ownership is non-negotiable. You own your work end-to-end. You don't throw problems over the wall. You don't wait to be told what to do.
- Make it better, don't just point at it. Identifying problems is easy. We value people who follow up with solutions.
- Disagree and commit. Debate is healthy. But once the decision is made, execute like it was your idea.
- The bar is always rising. In today's rapidly evolving world, what's good today isn't good enough tomorrow.

✨ TLDR ✨
Join Knoetic ($50MM+ raised from Tier 1 VCs like Accel + Menlo + 100s of angels) as we launch an incredible series of new AI products.
- You’ll join a newly-formed, high-intensity AI product pod. You’re not joining a well-oiled machine; rather, you’re going to help us build the machine in this small, elite AI pod.
- You'll own features end-to-end as an IC, ship at incredible velocity, and have direct impact on a product used by 1000s of C-level executives from Box, Brex, Notion, OpenAI, Figma, and more.
- You must be an AI-native engineer who’s customer-centric. That means (1) you’re easily a top 10% user of tools like Cursor, Claude Code, Codex, and more, and (2) you love creating delightful moments for our customers, whatever it takes.
❤️ Knoetic AI + our Chief People Officer network ❤️
Our mission is to build the “Second Brain” for every Chief People Officer & their HR team. We're backed by $50MM from Accel, EQT, Menlo, and 100s of legendary angels (Adam Grant, Shreyas Doshi, etc).
We're a beautiful blend of consumer + enterprise product that serves 1000s of C-level execs from companies like Box, Figma, dbt labs, Lyft, Notion, and OpenAI.
You can learn more about our “right brain” (CPOHQ) and ”left brain” (AI & People Analytics) here.
✨ Overview ✨
We're looking for a Fullstack Product Engineer who wants to:
- Own features end-to-end, from deeply understanding the customer problem to shipping the feature and driving its usage & adoption.
- Work across the entire stack (React, TypeScript, NestJS, PostgreSQL).
- Ship fast & high quality; you believe speed vs. quality is a false choice, and in fact you can increase both in lockstep.
- Work directly with customers: from hopping on calls, to debugging their problems, and then iterating based on real feedback.
- Craft positive-sum engineering practices that increase velocity.
- Become one of the first 3 engineers in our AI & Analytics pod.
This is only an in-person role (4-5 days/week) in NYC. We have a beautiful office in a 1,000+ ft skyscraper in the heart of Hudson Yards, New York.
✨ About you & the role ✨
- You have over-the-top ownership mindset. When something is your responsibility, it's truly yours. You understand it deeply, you're accountable for it in production, and you don't wait to be told what to do next. When something breaks, you're already investigating far before anyone asks.
- You enjoy working with customers. Beyond just writing code, you’re deeply energized by understanding who you're building for. You love customer calls, and seeing how people actually buy & use what you build.
- You are an AI-native engineer who’s far more productive because of AI. You live in Cursor, Claude Code, or similar tools. You can trade notes with us on prompting strategies, context management, and when to trust vs. verify AI output. You're 2-3x more productive because of how you use AI, and you have concrete proof points to back it up.
- You’re driven to make things better, not just point at what's broken. You notice problems, but in a productive, positive way that includes "here's how I'd fix it." You'd rather propose an imperfect solution than complain or wait for someone else.
- You can disagree and then commit… happily. You push back when you see a better way. But once the decision is made, you execute like it was your idea. No sulking, no relitigating, no behind-the-back undermining. You’re a team player in the end & you embrace the decision as if it were your own (because one day, you’ll be on the other side of the table too!)
- You believe quality enables speed. You've seen what happens when teams skip tests and cut corners. The slowdown comes later, and it's worse. You write tests not because someone told you to, but because you want to deploy with confidence, and believe in quality & craft.
- You communicate before it's a problem. You surface blockers early. You ask for help before you've wasted a day stuck. You don't surprise people with missed deadlines, because of your proactivity.
- You review code like it matters. You leverage AI to catch bugs and suggest improvements, but you know where human judgment is essential. You don't rubber-stamp PRs because you're busy. Again… because craft & quality matters.
✨ What you'll do ✨
- Ship features end-to-end from problem understanding to production, across frontend and backend.
- Talk to customers regularly: join calls, gather feedback, and translate their problems into solutions.
- Write code that lasts with tests, edge case handling, and clear documentation.
- Review code thoughtfully and hold the bar on quality for the team.
- Debug production issues and make sure they don't happen again.
- Help cultivate our engineering culture as one of the founding engineers of this pod.
✨ Candidate Criteria ✨
- You have 2-6 years building and shipping product. You've worked on real products with real users. You've felt the pain of production issues and learned from them.
- You're strong across the stack. You can build a React component, write a backend service, and debug a database query. You might be stronger in one area, but you're not helpless in any of them.
- You genuinely enjoy customer interaction. You've been on customer calls before and found them valuable, not painful. You understand that great products come from deeply understanding user problems.
- Strong SQL knowledge is a plus. We build querying engines on top of Snowflake data—if you're comfortable writing and optimizing complex queries, that's a big advantage.
- You're AI-native and AI-augmented. Cursor, Claude Code, AI-assisted reviews—these have fundamentally changed how you work. You're constantly experimenting with new AI tools and have opinions on what's worth adopting. If you're still coding the way you did in 2022, this isn't the right fit.
- You have an owner's mindset. Self-driven, resourceful, ready to build and be in the trenches. You don't need to be managed; you need to be pointed at problems.
- You've worked in high-intensity environments. Startups, high-growth teams, or any context where speed and quality both mattered.
- You're a positive influence on every team you've been on. Low ego, high standards.
✨ Tech Stack ✨
- Frontend: React, TypeScript, Vite
- Backend: NestJS, TypeScript
- Data: PostgreSQL, Redis
- Infrastructure: AWS, GitHub Actions
- Observability: Sentry, New Relic
- AI Dev Tools: Cursor, Claude Code (or similar—we want to learn from you too)
Nice to have: SQL proficiency and experience working with data warehouses (we use Snowflake for analytics).
We don't expect you to know everything. We care more about your ability to learn and adapt than your familiarity with our exact stack.
✨ WHAT WE BELIEVE ✨
- In this era of AI, we can (and will) build a billion-dollar company with a few dozen employees. This means every spot on this ship is sacred, and we will have an intensely high bar on recruiting (no hire > mediocre hire).
- AI-augmented engineering is the new baseline. Engineers who aren't leveraging AI tools are already falling behind. We expect everyone to be constantly improving how they use AI to ship faster and better.
- Great products come from talking to customers. We're not building in a vacuum. Engineers here talk to customers, understand their problems deeply, and build solutions that actually matter.
- Quality is speed. Shipping fast doesn't mean shipping broken. Code without tests, missing error handling, or unclear logic creates drag that compounds over time. We move fast by building things that don't need constant fixing.
- Ownership is non-negotiable. You own your work end-to-end. You don't throw problems over the wall. You don't wait to be told what to do.
- Make it better, don't just point at it. Identifying problems is easy. We value people who follow up with solutions.
- Disagree and commit. Debate is healthy. But once the decision is made, execute like it was your idea.
- The bar is always rising. In today's rapidly evolving world, what's good today isn't good enough tomorrow.
See all 784+ Full Stack Product Engineer jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Full Stack Product Engineer roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Full Stack Product Engineer
Align your degree field with your tech stack
USCIS requires your degree to relate directly to your role. Computer Science, Software Engineering, and Information Systems degrees map cleanly to Full Stack engineering. A degree in an unrelated field needs strong supporting evidence to overcome USCIS scrutiny.
Target product-focused companies over pure service firms
Product companies, those building their own software, sponsor more reliably than consulting firms. Consulting arrangements raise H-1B specialty occupation concerns because work often spans multiple client sites, which complicates the employer-employee relationship USCIS requires.
Document your full-stack scope clearly in offer letters
Vague job descriptions weaken visa petitions. Ask your employer to specify the technologies you'll own, frontend frameworks, backend services, databases, and deployment infrastructure. Detailed scope strengthens the specialty occupation argument and reduces RFE risk significantly.
Australians should prioritize E-3 over H-1B where possible
The E-3 visa has no lottery, no annual cap pressure, and processes in weeks rather than months. Full Stack engineering qualifies comfortably as a specialty occupation, making E-3 one of the most practical and underutilized options for Australian engineers.
Frame leadership and system ownership in your resume
Petitions for senior full-stack roles face less resistance than junior ones. Evidence of end-to-end system ownership, architecture decisions, and cross-functional leadership positions you for higher-tier roles where employer motivation to sponsor is strongest and petition approval rates are higher.
Full Stack Product Engineer jobs are hiring across the US. Find yours.
Find Full Stack Product Engineer JobsFrequently Asked Questions
Does Full Stack Product Engineer qualify as a specialty occupation for H-1B purposes?
Yes, Full Stack Product Engineer is well-established as a specialty occupation. USCIS consistently recognizes software engineering roles as requiring at least a bachelor's degree in Computer Science, Software Engineering, or a closely related field. The key is ensuring your job description specifies the technical complexity of the role, architecture decisions, system design, and ownership of discrete product components all strengthen the petition. Generic descriptions like 'build web applications' can invite RFEs, so specificity matters.
What visa types do employers commonly use to sponsor Full Stack engineers?
H-1B is the most common pathway, though it requires winning the annual lottery. Australian citizens can use the E-3, which has no lottery and processes in weeks, a significant practical advantage for this role. Exceptional engineers with peer recognition, open-source contributions, or conference speaking credits may qualify for the O-1A. Some multinational employers also use L-1B for engineers transferring from an overseas office with specialized knowledge.
Can I get sponsored as a Full Stack engineer without a Computer Science degree?
It's possible but requires more documentation. USCIS accepts equivalent qualifications: a degree in a related field (Mathematics, Electrical Engineering, Information Systems), or three years of relevant work experience substituting for each year of missing education. A bootcamp certificate alone is unlikely to satisfy the requirement. If your degree is in an unrelated field, a detailed skills evaluation from a credential assessment organization and strong letters from previous employers help build the case.
How do I find Full Stack Product Engineer roles that are open to visa sponsorship?
Most job postings don't explicitly state sponsorship availability, which makes filtering difficult on general platforms. Migrate Mate is built specifically for this, every role on the platform is pre-screened for visa sponsorship, so you're not wasting applications on employers who won't file. Filtering by role title and visa type saves significant time, especially if you're working against an OPT or grace period deadline.
Does the size of the company affect sponsorship likelihood for this role?
Yes, in practical terms. Large tech companies, those with dedicated immigration teams, process H-1B petitions routinely and move faster. Early-stage startups may want to sponsor but lack the legal infrastructure or the financial standing USCIS expects to see. Mid-size product companies with established engineering teams tend to be the most reliable sponsors: motivated to hire, experienced enough to execute, and less bureaucratic than enterprise employers.
What is the prevailing wage requirement for sponsored Full Stack 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.
See which Full Stack Product Engineer employers are hiring and sponsoring visas right now.
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