Product Engineer Jobs at Whatnot with Visa Sponsorship
Product Engineer jobs at Whatnot involve building the infrastructure behind its live shopping marketplace, and the company has a consistent track record of sponsoring work visas for this function. If you're on a visa or need sponsorship, Whatnot is a legitimate path worth pursuing.
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Get Access To All Jobsš 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. Weāre re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, weāre inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, weāre building the future of online marketplaces ā 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 weāre just getting started! As one of the fastest growing marketplaces, weāre 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.
š» Role
As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. Weāre looking for a Product Data Scientist who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
In This Role, You Will
š Generate Insights & Shape Product Direction:
- Define and own the KPIs that measure product health, user engagement, and marketplace performance.
- Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
- Translate complex data into actionable recommendations for product and leadership teams.
š§Ŗ Drive Experimentation & Measurement:
- Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
- Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
- Build scalable methodologies to understand feature performance and guide iteration.
š Build Data Products & Tools:
- Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
- Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
š¤ Lead Cross-Functional Collaboration:
- Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
US Based
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 New York, Seattle, Los Angeles, and San Francisco hubs.
š You
Curious about who thrives at Whatnot? Weāve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
š Experience & Expertise
As our next Product Data Scientist, you bring:
- 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
- A bachelorās degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
- Proven experience applying statistical and analytical methods to real-world product problems.
š§ Technical Skills
- Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
- Proficiency with Python or R for data analysis, modeling, and experimentation.
- Experience designing and analyzing A/B tests and understanding causal inference techniques.
- Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
š£ Collaboration & Leadership
- Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
- Experience leading cross-functional projects and influencing product strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
š°Compensation
For Full-Time (Salary) US based applicants: $175,000/year to $240,000/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.
š Benefits
- Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
- 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.
š 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: $175K - $240K
š 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. Weāre re-defining e-commerce by blending community, shopping, and entertainment into a community just for you. As a remote co-located team, weāre inspired by innovation and anchored in our values. With hubs in the US, UK, Germany, Ireland, and Poland, weāre building the future of online marketplaces ā 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 weāre just getting started! As one of the fastest growing marketplaces, weāre 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.
š» Role
As Whatnot rapidly scales, data is central to shaping our product strategy and helping us build delightful, high-performing experiences for both buyers and sellers. Weāre looking for a Product Data Scientist who will partner closely with Product, Engineering, Design, and Operations to drive insights, experimentation, and decision-making across the company.
In This Role, You Will
š Generate Insights & Shape Product Direction:
- Define and own the KPIs that measure product health, user engagement, and marketplace performance.
- Analyze user behavior, product usage patterns, and marketplace dynamics to identify opportunities and inform product priorities.
- Translate complex data into actionable recommendations for product and leadership teams.
š§Ŗ Drive Experimentation & Measurement:
- Partner with product managers and engineers to design, implement, and evaluate A/B tests and feature rollouts.
- Develop frameworks for causal inference, impact measurement, and long-term product evaluation.
- Build scalable methodologies to understand feature performance and guide iteration.
š Build Data Products & Tools:
- Use our modern data stack to build dashboards, data pipelines, and self-serve tools that empower teams across Whatnot.
- Partner with engineers to improve data accessibility, ensure data quality, and support instrumentation for new product features.
š¤ Lead Cross-Functional Collaboration:
- Advocate for data-driven decision-making and foster a culture of measurement across the product organization.
- Communicate insights clearly to both technical and non-technical audiences, influencing roadmaps and strategic decisions.
- Serve as a thought partner to product leads, shaping how we build, launch, and iterate on experiences across the platform.
US Based
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 New York, Seattle, Los Angeles, and San Francisco hubs.
š You
Curious about who thrives at Whatnot? Weāve found that embodying a low ego, growth mindset, and high-impact drive goes a long way here.
š Experience & Expertise
As our next Product Data Scientist, you bring:
- 3+ years of experience in Data Science, Decision Science, or Analytics within a product-focused organization.
- A bachelorās degree in Computer Science, Economics, Statistics, or a related quantitative field or equivalent experience.
- Proven experience applying statistical and analytical methods to real-world product problems.
š§ Technical Skills
- Advanced SQL skills and experience with modern data warehouses (Snowflake, BigQuery, Redshift) and tools like Spark or DBT.
- Proficiency with Python or R for data analysis, modeling, and experimentation.
- Experience designing and analyzing A/B tests and understanding causal inference techniques.
- Strong data visualization skills and familiarity with BI tools for building interactive dashboards.
š£ Collaboration & Leadership
- Ability to communicate complex ideas clearly, concisely, and impactfully across diverse stakeholders.
- Experience leading cross-functional projects and influencing product strategy with data.
- Comfortable working in fast-paced, ambiguous environments with a high degree of ownership.
š°Compensation
For Full-Time (Salary) US based applicants: $175,000/year to $240,000/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.
š Benefits
- Flexible Time off Policy and Company-wide Holidays (including a spring and winter break)
- 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.
š 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: $175K - $240K
See all Product Engineer Jobs at Whatnot
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Product Engineer Jobs at Whatnot.
Get Access To All JobsTips for Finding Product Engineer Jobs at Whatnot
Frame your portfolio around live commerce infrastructure
Whatnot builds real-time bidding, streaming, and marketplace systems. Highlight projects involving high-concurrency backends, payment flows, or consumer-facing product work. Employers filing visa petitions want evidence your skills map directly to open roles.
Confirm your visa category before applying
Whatnot sponsors multiple visa types, including H-1B, E-3, TN, and F-1 OPT. Knowing which category fits your nationality and status lets you speak to sponsorship logistics confidently during recruiter screens instead of raising uncertainty.
Time F-1 OPT applications around Whatnot's hiring cycles
If you're on F-1 OPT, your work authorization window is fixed. Apply to Whatnot's Product Engineer roles at least three to four months before your OPT expires so there's enough runway to file a cap-subject H-1B petition if you receive an offer.
Understand how Whatnot structures the LCA filing
Before USCIS can adjudicate your H-1B or E-3 petition, your employer must file a certified Labor Condition Application with the DOL. Ask your recruiter at what stage Whatnot initiates the LCA so you can align your start date expectations accordingly.
Use Migrate Mate to filter Product Engineer roles by visa type
Whatnot posts Product Engineer openings across multiple tracks. Use Migrate Mate to filter specifically for roles that match your visa category, so you're not wasting outreach on positions the team isn't currently staffing for your situation.
Prepare for specialty occupation documentation early
USCIS scrutinizes whether Product Engineer roles qualify as specialty occupations. Gather degree transcripts, any credential evaluations, and a written summary of how your specific role requires theoretical and practical application of a body of highly specialized knowledge.
Frequently Asked Questions
Does Whatnot sponsor H-1B visas for Product Engineers?
Yes, Whatnot sponsors H-1B visas for Product Engineers. The company has an active history of filing H-1B petitions for technical roles, and Product Engineering sits squarely within the functions they staff through visa sponsorship. If you receive an offer, ask your recruiter early about their H-1B filing timeline so your start date aligns with the cap or an applicable exemption.
Which visa types does Whatnot commonly sponsor for Product Engineer roles?
Whatnot sponsors a range of visa categories for Product Engineers, including H-1B, E-3 visa (for Australian nationals), TN visa (for Canadian and Mexican nationals), F-1 OPT and CPT, J-1 visa, and employment-based Green Cards through EB-2 and EB-3 pathways. The right category depends on your nationality, education, and current status, so confirm which applies to you before your first recruiter call.
What qualifications does Whatnot expect for Product Engineer roles?
Whatnot's Product Engineer roles typically require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Practically, they look for experience building consumer-facing products at scale, familiarity with real-time systems, and ownership over full product cycles. For visa purposes, the degree must align with the role's technical requirements to satisfy USCIS specialty occupation standards.
How do I apply for Product Engineer jobs at Whatnot?
You can find and apply for Product Engineer roles at Whatnot through Migrate Mate, which filters open positions by visa sponsorship type so you can target roles that match your status. Whatnot's hiring process for engineering roles typically includes a recruiter screen, technical assessments, and system design interviews. Flagging your visa situation early with the recruiter avoids delays at the offer stage.
How do I plan my timeline if I need Whatnot to sponsor my visa?
Timeline depends on your visa category. H-1B petitions for cap-subject cases must be filed in April for an October 1 start date, so you'd need an offer by early March. E-3 and TN processing can move faster, often within a few weeks of an offer. For F-1 OPT extensions through H-1B, USCIS allows a cap-gap period that bridges your status if your OPT expires while a petition is pending.