Product Engineer Jobs at Chewy with Visa Sponsorship
Chewy's Product Engineer roles sit at the intersection of retail technology and customer experience, covering everything from supply chain systems to e-commerce platforms. Chewy has a consistent track record of sponsoring work visas for this function, making it a realistic target for international candidates in product engineering.
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Job Description
Our Opportunity: Machine learning platform insights are fundamental to the Chewy customer experience, and the Discovery team’s staff of machine learning experts is the driving force behind those insights in search and recommendations. The team is looking for a Staff Software Engineer to join the team as a senior technical leader to drive scalable, reliable, and high-impact software systems. As a Staff SWE, you will provide hands-on technical leadership across multiple initiatives: designing, building, and optimizing ML-driven distributed systems that power search, recommendations, and personalization on the Chewy website. You’ll collaborate closely with product engineering, machine learning, and data science teams to bring intelligence and automation into our marketing technology stack. This role is both strategic and execution-focused: you will shape technical direction, mentor engineers, and contribute directly to the codebase to ensure system excellence and scalability. The ideal candidate is a strong systems thinker who thrives on solving complex problems at scale while fostering technical growth across the team.
- Lead the design, implementation, and delivery of large-scale, distributed software systems that enable customer insights and personalization in search and recommendations.
- Partner with ML/Platform and Data Science teams to bring ML models into customer-facing applications.
- Collaborate with Principal Engineer to define technical vision and architecture for key Discovery ML workflow and delivery systems, ensuring scalability, performance, and maintainability.
- Collaborate with cross-functional teams to translate business objectives into robust, scalable engineering solutions.
- Mentor and guide engineers across multiple levels, fostering technical growth and high-quality delivery.
- Drive initiatives that improve developer productivity, system observability, and operational excellence.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 12+ years of professional software engineering experience, with at least 2+ years in a Staff- or Principal-level technical leadership role.
- Proven success designing and delivering high-performance, distributed systems or large-scale workflows and services.
- Strong proficiency in one or more modern programming languages (e.g., Java, Kotlin, Python).
- Proficiency in Terraform and Jenkins.
- Deep understanding of system design, architecture patterns, and cloud-based deployment (AWS, GCP, or Azure).
- Experience integrating with or supporting ML pipelines, APIs, or data-driven applications.
- Demonstrated ability to drive cross-team technical initiatives and influence architectural decisions.
- Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and data science teams.
Bonus
- Experience in e-commerce or retail.
- Experience with modern MLOps.
- Exposure to front-end or product-facing integration of ML features.
- Experience with AWS Sagemaker and other ML platform tooling.
- Experience working with large distributed datasets and ML feature engineering.
- Prior experience mentoring and growing engineers into more senior technical roles.
- Advanced degree (MS or PhD) in Computer Science or related field.
The base salary range for this role is $166,000 - $265,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.

Job Description
Our Opportunity: Machine learning platform insights are fundamental to the Chewy customer experience, and the Discovery team’s staff of machine learning experts is the driving force behind those insights in search and recommendations. The team is looking for a Staff Software Engineer to join the team as a senior technical leader to drive scalable, reliable, and high-impact software systems. As a Staff SWE, you will provide hands-on technical leadership across multiple initiatives: designing, building, and optimizing ML-driven distributed systems that power search, recommendations, and personalization on the Chewy website. You’ll collaborate closely with product engineering, machine learning, and data science teams to bring intelligence and automation into our marketing technology stack. This role is both strategic and execution-focused: you will shape technical direction, mentor engineers, and contribute directly to the codebase to ensure system excellence and scalability. The ideal candidate is a strong systems thinker who thrives on solving complex problems at scale while fostering technical growth across the team.
- Lead the design, implementation, and delivery of large-scale, distributed software systems that enable customer insights and personalization in search and recommendations.
- Partner with ML/Platform and Data Science teams to bring ML models into customer-facing applications.
- Collaborate with Principal Engineer to define technical vision and architecture for key Discovery ML workflow and delivery systems, ensuring scalability, performance, and maintainability.
- Collaborate with cross-functional teams to translate business objectives into robust, scalable engineering solutions.
- Mentor and guide engineers across multiple levels, fostering technical growth and high-quality delivery.
- Drive initiatives that improve developer productivity, system observability, and operational excellence.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- 12+ years of professional software engineering experience, with at least 2+ years in a Staff- or Principal-level technical leadership role.
- Proven success designing and delivering high-performance, distributed systems or large-scale workflows and services.
- Strong proficiency in one or more modern programming languages (e.g., Java, Kotlin, Python).
- Proficiency in Terraform and Jenkins.
- Deep understanding of system design, architecture patterns, and cloud-based deployment (AWS, GCP, or Azure).
- Experience integrating with or supporting ML pipelines, APIs, or data-driven applications.
- Demonstrated ability to drive cross-team technical initiatives and influence architectural decisions.
- Strong communication and collaboration skills, with the ability to partner effectively across engineering, product, and data science teams.
Bonus
- Experience in e-commerce or retail.
- Experience with modern MLOps.
- Exposure to front-end or product-facing integration of ML features.
- Experience with AWS Sagemaker and other ML platform tooling.
- Experience working with large distributed datasets and ML feature engineering.
- Prior experience mentoring and growing engineers into more senior technical roles.
- Advanced degree (MS or PhD) in Computer Science or related field.
The base salary range for this role is $166,000 - $265,000.00. The specific salary offered to a candidate may be influenced by a variety of factors including but not limited to the candidate’s relevant experience, education, and work location. In addition, this position is eligible for 401k and a new hire and annual equity grant. C08+ positions may also be eligible for annual bonus.
We offer different types of insurance and benefits, such as medical/Rx, vision, dental, life, disability, hospital indemnity, critical illness, and accident. We offer parental leave, family services benefits, backup dependent care, flexible spending accounts, telemedicine, pet adoption reimbursement, employee assistance program, and many discounts including 10% off pet insurance and 20% off at Chewy.com. Exempt salary team members have unlimited PTO, subject to manager approval. Team members will receive six paid holidays per year. Team members may be eligible for paid sick and family leave in compliance with applicable state and local regulations.
Chewy is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, gender, citizenship, marital status, religion, age, disability, gender identity, results of genetic testing, veteran status, as well as any other legally-protected characteristic. If you have a disability under the Americans with Disabilities Act or similar law, and you need an accommodation during the application process or to perform these job requirements, or if you need a religious accommodation, please contact CAAR@chewy.com. To access Chewy's California CPRA Job Applicant Privacy Policy, please click here.
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Get Access To All JobsTips for Finding Product Engineer Jobs at Chewy Jobs
Frame your portfolio around retail systems
Chewy's product engineering work spans inventory management, fulfillment pipelines, and customer-facing e-commerce. Highlighting projects involving distributed systems, order management, or supply chain tooling positions your experience directly against their core engineering needs.
Target roles tied to platform or checkout engineering
Chewy's product engineering hiring clusters around customer platform teams. Roles involving payment systems, product catalog infrastructure, or recommendation engines see consistent demand and are more likely to move through the full sponsorship pipeline than exploratory R&D positions.
Understand what PERM means for your timeline
If you're targeting permanent residency through an EB-2 or EB-3 pathway, PERM requires DOL-supervised recruitment before Chewy can file on your behalf. That process typically takes 12 to 18 months before the I-140 stage, so start that conversation early in your tenure.
Use Migrate Mate to filter verified sponsorship openings
Not every Product Engineer listing at Chewy will specify visa sponsorship eligibility. Use Migrate Mate to filter for roles where Chewy has a confirmed sponsorship history, so you're spending time on applications that can actually move forward for international candidates.
Confirm LCA wage level alignment with your offer
For H-1B filings, Chewy's employer of record must file a Labor Condition Application with DOL certifying your offered wage meets prevailing wage standards for your location and role level. Review the LCA wage tiers before negotiating your offer to avoid mismatches that delay the petition.
Product Engineer at Chewy jobs are hiring across the US. Find yours.
Find Product Engineer at Chewy JobsFrequently Asked Questions
Does Chewy sponsor H-1B visas for Product Engineers?
Yes, Chewy sponsors H-1B visas for Product Engineer roles. The company has an established pattern of filing H-1B petitions for product and engineering functions, particularly for roles tied to their e-commerce and fulfillment platforms. Because the H-1B is subject to the annual lottery, timing your application cycle and confirming sponsorship intent with your recruiter before the March registration window is essential.
Which visa types does Chewy commonly use for Product Engineer roles?
Chewy sponsors H-1B visas as the primary work authorization pathway for Product Engineers, along with TN status for Canadian and Mexican nationals in qualifying roles. For candidates already in the U.S. on F-1 status, Chewy supports both OPT and CPT. For longer-term permanent residency, Chewy has sponsored EB-2 and EB-3 Green Card petitions for engineering roles that meet the PERM labor certification requirements.
How do I apply for Product Engineer jobs at Chewy?
You can browse and apply for Product Engineer openings directly through Chewy's careers site. To find roles with confirmed visa sponsorship history, Migrate Mate filters Chewy's active listings by sponsorship track record, saving you from applying to postings where international candidates aren't supported. When you apply, clearly indicate your visa status and authorization timeline so recruiters can plan any required filing around your situation.
What qualifications does Chewy expect for Product Engineer roles?
Chewy's Product Engineer roles typically require a bachelor's degree in computer science, software engineering, or a closely related field. Practical experience with backend services, API development, or distributed systems is commonly required. For H-1B eligibility, the role must qualify as a specialty occupation under USCIS standards, meaning a specific degree in a relevant technical field is a requirement of the position, not just a preference.
How do I manage my visa timeline during the Chewy hiring process?
If you're targeting an H-1B and your current authorization has a fixed end date, work backward from the April 1 USCIS filing deadline. Chewy needs time to prepare the Labor Condition Application with DOL and assemble the I-129 petition before filing. Aim to have an offer finalized by late January or early February at the latest to give the legal team adequate preparation time without rushing a petition that affects your status.
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