Whatnot Green Card Visa Sponsorship Jobs USA
Whatnot sponsors Green Cards for select roles in its retail and technology operations, with a focus on engineering, product, and data functions. It has an active sponsorship program and is a credible option for international professionals building a long-term career in the U.S. live commerce space.
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Get Access To All JobsINTRODUCTION
🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces – together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
ROLE
The Fraud Experience team builds intelligent, real-time systems that safeguard Whatnot’s marketplace from malicious activity. We design, develop, and deploy end-to-end, ML-driven systems that proactively identify and mitigate fraud — blending real-time detection with transparent, user-centered enforcement.
- Lead the full architecture of fraud detection, prevention, and intervention systems — spanning machine learning, backend, and client-side components.
- Build intelligent user graphs to model behavioral patterns, detect collusion networks, and uncover account connectivity at scale.
- Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent activity across users, payments, and marketplace interactions.
- Develop scalable data pipelines and real-time inference systems capable of supporting high-volume, low-latency ML workloads.
- Create human-in-the-loop systems that continuously refine detection accuracy and adapt to evolving adversarial tactics.
- Perform deep behavioral and adversarial data analysis to surface emerging fraud trends and drive continuous system improvement.
- Stay ahead of the curve by translating new insights into adaptive, production-ready systems that evolve as fast as our adversaries.
We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Los Angeles, New York, San Francisco or Seattle hub.
YOU
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact.
What You’ll Bring
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related technical field.
- 4+ years of software engineering experience building systems for consumer-scale traffic and reliability.
- 1+ years writing production-grade Python code and working with ML libraries (e.g. PyTorch, LightGBM).
- 1+ years of experience in machine learning or fraud prevention domains.
- Deep business intuition and a data-driven mindset — you think critically about how abuse prevention systems affect growth and user experience.
- Fluency with data tooling, including data warehouses (e.g. Snowflake) and transformation frameworks (e.g. dbt, Dagster).
- Strong communication skills and the ability to lead initiatives across product areas, collaborating closely with leadership, data science, and product teams.
- Experience working in a remote-first environment and producing well-tested, reproducible work.
What Sets You Apart
- You’re impact-obsessed — you focus relentlessly on delivering value for users and simplify wherever possible, moving fast without sacrificing quality.
- You’re entrepreneurial and relentless — you prioritize effectively, tackle hard problems with curiosity, and go above and beyond to make things happen.
- You have a growth mindset and love digging into ambiguous user problems, crafting data-driven solutions, and shipping improvements quickly.
- Hands-on machine learning or data science experience in production environments.
COMPENSATION
For Full-Time (Salary) US based applicants: $170,000/year to $230,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
BENEFITS
- Generous Holiday and Time off Policy
- Health Insurance options including Medical, Dental, Vision
- Work From Home Support + Home office setup allowance + Monthly allowance for cell phone and internet
- Care benefits + Monthly allowance for wellness + Annual allowance towards Childcare + Lifetime benefit for family planning, such as adoption or fertility expenses
- Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
- Monthly allowance to dogfood the app + All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
- Parental Leave + 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
LOCATION
Team members in this role must live within commuting distance of our Los Angeles, New York, San Francisco or Seattle hub.
đź’› EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $162K - $260K
INTRODUCTION
🚀 Join the Future of Commerce with Whatnot! Whatnot is the largest live shopping platform in North America and Europe to buy, sell, and discover the things you love. We’re re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, we’re inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, we’re building the future of online marketplaces – together. From fashion, beauty, and electronics to collectibles like trading cards, comic books, and even live plants, our live auctions have something for everyone. And we’re just getting started! As one of the fastest growing marketplaces, we’re looking for bold, forward-thinking problem solvers across all functional areas. Check out the latest Whatnot updates on our news and engineering blogs and join us as we enable anyone to turn their passion into a business, and bring people together through commerce.
ROLE
The Fraud Experience team builds intelligent, real-time systems that safeguard Whatnot’s marketplace from malicious activity. We design, develop, and deploy end-to-end, ML-driven systems that proactively identify and mitigate fraud — blending real-time detection with transparent, user-centered enforcement.
- Lead the full architecture of fraud detection, prevention, and intervention systems — spanning machine learning, backend, and client-side components.
- Build intelligent user graphs to model behavioral patterns, detect collusion networks, and uncover account connectivity at scale.
- Design, train, and deploy both traditional ML and LLM-powered models to detect fraudulent activity across users, payments, and marketplace interactions.
- Develop scalable data pipelines and real-time inference systems capable of supporting high-volume, low-latency ML workloads.
- Create human-in-the-loop systems that continuously refine detection accuracy and adapt to evolving adversarial tactics.
- Perform deep behavioral and adversarial data analysis to surface emerging fraud trends and drive continuous system improvement.
- Stay ahead of the curve by translating new insights into adaptive, production-ready systems that evolve as fast as our adversaries.
We offer flexibility to work from home or from one of our global office hubs, and we value in-person time for planning, problem-solving, and connection. Team members in this role must live within commuting distance of our Los Angeles, New York, San Francisco or Seattle hub.
YOU
Curious about who thrives at Whatnot? We’ve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here. As our next Software Engineer in Fraud team, you should bring 4+ years of software development experience in high-growth environments, along with a strong bias toward action and impact.
What You’ll Bring
- Bachelor’s degree in Computer Science, Statistics, Applied Mathematics, Economics, or a related technical field.
- 4+ years of software engineering experience building systems for consumer-scale traffic and reliability.
- 1+ years writing production-grade Python code and working with ML libraries (e.g. PyTorch, LightGBM).
- 1+ years of experience in machine learning or fraud prevention domains.
- Deep business intuition and a data-driven mindset — you think critically about how abuse prevention systems affect growth and user experience.
- Fluency with data tooling, including data warehouses (e.g. Snowflake) and transformation frameworks (e.g. dbt, Dagster).
- Strong communication skills and the ability to lead initiatives across product areas, collaborating closely with leadership, data science, and product teams.
- Experience working in a remote-first environment and producing well-tested, reproducible work.
What Sets You Apart
- You’re impact-obsessed — you focus relentlessly on delivering value for users and simplify wherever possible, moving fast without sacrificing quality.
- You’re entrepreneurial and relentless — you prioritize effectively, tackle hard problems with curiosity, and go above and beyond to make things happen.
- You have a growth mindset and love digging into ambiguous user problems, crafting data-driven solutions, and shipping improvements quickly.
- Hands-on machine learning or data science experience in production environments.
COMPENSATION
For Full-Time (Salary) US based applicants: $170,000/year to $230,000/year + benefits + equity. The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below) or equity.
BENEFITS
- Generous Holiday and Time off Policy
- Health Insurance options including Medical, Dental, Vision
- Work From Home Support + Home office setup allowance + Monthly allowance for cell phone and internet
- Care benefits + Monthly allowance for wellness + Annual allowance towards Childcare + Lifetime benefit for family planning, such as adoption or fertility expenses
- Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
- Monthly allowance to dogfood the app + All Whatnauts are expected to develop a deep understanding of our product. We're passionate about building the best user experience, and all employees are expected to use Whatnot as both a buyer and a seller as part of their job (our dogfooding budget makes this fun and easy!).
- Parental Leave + 16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
LOCATION
Team members in this role must live within commuting distance of our Los Angeles, New York, San Francisco or Seattle hub.
đź’› EOE
Whatnot is proud to be an Equal Opportunity Employer. We value diversity, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, parental status, disability status, or any other status protected by local law. We believe that our work is better and our company culture is improved when we encourage, support, and respect the different skills and experiences represented within our workforce.
Compensation Range: $162K - $260K
Job Roles at Whatnot
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Get Access To All JobsTips for Finding Whatnot Green Card Jobs
Target engineering and product roles
Whatnot's Green Card sponsorship is concentrated in technical functions like software engineering, data science, and product management. Prioritizing these departments gives you the strongest chance of landing a role with a clear path to permanent residence.
Ask about Green Card timelines during interviews
Retail-adjacent tech companies vary widely in how proactively they initiate Green Card filings. Ask your recruiter directly whether the role has an established sponsorship track and how soon the PERM process typically begins after hiring.
Understand the PERM labor certification step
Whatnot's Green Card process, like most employer-sponsored paths, starts with PERM labor certification through the Department of Labor. Knowing this step exists and what it requires helps you ask informed questions and set realistic timeline expectations.
Verify sponsorship history before applying
Not every open role at Whatnot comes with Green Card sponsorship. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history, saving you time and helping you focus on roles where sponsorship is genuinely on the table.
Connect sponsorship to your long-term value
Whatnot operates in a fast-growing segment of retail commerce. Framing your skills around live shopping, marketplace infrastructure, or seller growth shows the company why retaining you long-term, and sponsoring your Green Card, is a strategic investment.
Confirm your visa status is Green Card-compatible
Green Card sponsorship requires your current status to allow employer-sponsored immigrant petitions. If you're on H-1B visa, E-3 visa, or L-1 visa, you're well-positioned. Make sure Whatnot's HR team is familiar with your specific visa category before the process begins.
Whatnot Green Card Visa Sponsorship: Frequently Asked Questions
Does Whatnot sponsor Green Card visas?
Yes, Whatnot sponsors Green Card visas for eligible employees. Sponsorship is most common in technical and product roles, and the company has an active record of supporting permanent residence filings. Not every role includes sponsorship, so confirming directly with the recruiting team during the interview process is advisable.
Which roles at Whatnot are most likely to receive Green Card sponsorship?
Green Card sponsorship at Whatnot is most consistently offered in software engineering, data science, machine learning, and product management. These roles align with the EB-2 and EB-3 employment-based categories, where employer-sponsored PERM petitions are the standard path to permanent residence.
How does the Green Card application process work at Whatnot?
Whatnot typically follows the standard employer-sponsored Green Card process: PERM labor certification through the Department of Labor, followed by an I-140 immigrant petition filed with USCIS, and then adjustment of status or consular processing depending on your situation. The company's immigration counsel handles the filings on behalf of the employee.
How long does Green Card sponsorship take at Whatnot?
The overall timeline depends on your country of birth and the visa category. PERM certification alone can take one to two years, and priority date backlogs for nationals from India and China can extend the wait significantly beyond that. Employees from most other countries generally face much shorter waits once the I-140 is approved.
How do I find Green Card jobs at Whatnot?
Migrate Mate lists open roles at verified Green Card sponsors including Whatnot, so you can search specifically for positions where permanent residence sponsorship is part of the offer. Applying through channels that confirm sponsorship upfront helps you avoid wasting time on roles where it isn't available, which is common at retail and tech companies alike.
What is the prevailing wage for Green Card sponsorship at Whatnot?
Employers sponsoring a Green Card through the PERM labor certification process must pay at least the prevailing wage for the role. The Department of Labor determines this rate based on the specific job title, location, and experience level. The prevailing wage is locked in during the PERM filing and applies through the entire Green Card process. You can look up current rates using the DOL's OFLC Wage Search tool.