Green Card VP Product Jobs
VP Product roles qualify for EB-2 and EB-3 green card sponsorship through the PERM labor certification process, which requires employers to document that no qualified U.S. worker is available before filing your I-140 immigrant petition. Product leadership positions typically meet the advanced-degree standard that makes EB-2 sponsorship a realistic path.
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Get Access To All JobsScientific Games:
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Position Summary
Scientific Games is seeking a VP, Product Engineering to lead a small, high-impact team focused on building new products and advancing strategic business opportunities. This leader will tackle ambiguous problems, partner closely with product and business stakeholders, and deliver high-quality software quickly—without compromising platform stability.
This is a hands-on builder-leader role, responsible for driving the full product engineering lifecycle—from shaping ideas to delivering production-ready solutions. The team will operate as a lean, senior group leveraging modern AI-assisted development practices to move fast, maintain quality, and continuously improve the systems they touch.
Success in this role means balancing speed and discipline—shipping impactful solutions, enhancing legacy systems, and establishing scalable, AI-driven engineering practices that can influence the broader organization.
What This Person Will Own
- Building new products, capabilities, prototypes, and production systems from zero to one.
- Moving quickly and safely inside existing legacy codebases and platforms.
- Helping decide which opportunities deserve engineering investment.
- Creating an AI-first software delivery model based on clear specifications, acceptance criteria, automated tests, fast feedback, and low cycle time.
- Using current AI development tools and emerging agentic workflows to generate code, write and improve tests, explore legacy systems, document behavior, accelerate migrations, support review, and reduce manual toil.
- Establishing specification-driven development, test-driven development, acceptance-test-driven development, automated testing, CI/CD, observability, release discipline, security review, and production ownership as the foundation for speed.
- Building a small, high-performance team with a strong bar for technical judgment, product judgment, learning speed, and follow-through.
- Modeling agentic AI development patterns that can influence engineering practice across SG.
Qualifications
What Success Looks Like
This person will lead a team that turns ambiguity into working software quickly and safely. The team operates close to the customer and uses AI effectively to accelerate delivery—while maintaining strong engineering fundamentals.
Key Responsibilities
- Lead product engineering for strategic new business opportunities, from problem framing through prototype, validation, production readiness, and scale.
- Partner with product and business leaders to decide what is worth building, what should be built first, and how success will be measured.
- Build and lead a small, high-performance engineering team with strong technical judgment, product judgment, ownership, and learning speed.
- Establish an AI-first development model grounded in clear specs, TDD / ATDD, automated testing, fast feedback loops, CI/CD, observability, and production-safe release practices.
- Move quickly inside legacy systems while improving the parts of the platform the team touches: cleaner interfaces, better tests, stronger automation, and less future drag.
- Model a faster, safer product engineering motion for SG by showing how AI-assisted development, strong specs, strong tests, and low cycle time can work together at enterprise scale.
Experience That Fits
- 12+ years of experience across software engineering, product engineering, platform engineering, or technical product development
- 5+ years leading high-performing engineering teams or technical pods
- Proven track record of building and delivering real software in fast-paced, high-ownership environments
- Experience operating effectively within large, complex systems, including legacy platforms
- Strong understanding of customer commitments, security, compliance, and production reliability requirements
Required Experience Includes:
- Leading end-to-end product engineering: problem framing, technical design, implementation, testing, release, production operation, and iteration.
- Building new products, platforms, or capabilities from early ambiguity to production use.
- Working in or around legacy systems while improving architecture, testability, operability, and delivery speed.
- Using modern AI-assisted software development practices, including coding assistants, agentic workflows, AI-assisted code generation and review, test generation, documentation support, migration support, and workflow automation.
- Practicing specification-driven development: clear intent, acceptance criteria, interface contracts, examples, non-functional requirements, and release criteria.
- Building strong automated testing systems, including TDD, ATDD, unit testing, integration testing, contract testing, regression automation, performance testing, and production validation.
Useful Additional Experience Includes:
- Lottery, gaming, payments, regulated transactional systems, or other high-reliability customer-facing platform experience.
- Polyglot environments with multiple languages, platforms, deployment models, and legacy architectures.
- Cloud-native development, platform engineering, infrastructure as code, containerized workloads, APIs, event-driven systems, and distributed systems.
- Test automation across unit, integration, contract, regression, performance, and end-to-end testing
Work Conditions
Scientific Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.
Scientific Games:
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Position Summary
Scientific Games is seeking a VP, Product Engineering to lead a small, high-impact team focused on building new products and advancing strategic business opportunities. This leader will tackle ambiguous problems, partner closely with product and business stakeholders, and deliver high-quality software quickly—without compromising platform stability.
This is a hands-on builder-leader role, responsible for driving the full product engineering lifecycle—from shaping ideas to delivering production-ready solutions. The team will operate as a lean, senior group leveraging modern AI-assisted development practices to move fast, maintain quality, and continuously improve the systems they touch.
Success in this role means balancing speed and discipline—shipping impactful solutions, enhancing legacy systems, and establishing scalable, AI-driven engineering practices that can influence the broader organization.
What This Person Will Own
- Building new products, capabilities, prototypes, and production systems from zero to one.
- Moving quickly and safely inside existing legacy codebases and platforms.
- Helping decide which opportunities deserve engineering investment.
- Creating an AI-first software delivery model based on clear specifications, acceptance criteria, automated tests, fast feedback, and low cycle time.
- Using current AI development tools and emerging agentic workflows to generate code, write and improve tests, explore legacy systems, document behavior, accelerate migrations, support review, and reduce manual toil.
- Establishing specification-driven development, test-driven development, acceptance-test-driven development, automated testing, CI/CD, observability, release discipline, security review, and production ownership as the foundation for speed.
- Building a small, high-performance team with a strong bar for technical judgment, product judgment, learning speed, and follow-through.
- Modeling agentic AI development patterns that can influence engineering practice across SG.
Qualifications
What Success Looks Like
This person will lead a team that turns ambiguity into working software quickly and safely. The team operates close to the customer and uses AI effectively to accelerate delivery—while maintaining strong engineering fundamentals.
Key Responsibilities
- Lead product engineering for strategic new business opportunities, from problem framing through prototype, validation, production readiness, and scale.
- Partner with product and business leaders to decide what is worth building, what should be built first, and how success will be measured.
- Build and lead a small, high-performance engineering team with strong technical judgment, product judgment, ownership, and learning speed.
- Establish an AI-first development model grounded in clear specs, TDD / ATDD, automated testing, fast feedback loops, CI/CD, observability, and production-safe release practices.
- Move quickly inside legacy systems while improving the parts of the platform the team touches: cleaner interfaces, better tests, stronger automation, and less future drag.
- Model a faster, safer product engineering motion for SG by showing how AI-assisted development, strong specs, strong tests, and low cycle time can work together at enterprise scale.
Experience That Fits
- 12+ years of experience across software engineering, product engineering, platform engineering, or technical product development
- 5+ years leading high-performing engineering teams or technical pods
- Proven track record of building and delivering real software in fast-paced, high-ownership environments
- Experience operating effectively within large, complex systems, including legacy platforms
- Strong understanding of customer commitments, security, compliance, and production reliability requirements
Required Experience Includes:
- Leading end-to-end product engineering: problem framing, technical design, implementation, testing, release, production operation, and iteration.
- Building new products, platforms, or capabilities from early ambiguity to production use.
- Working in or around legacy systems while improving architecture, testability, operability, and delivery speed.
- Using modern AI-assisted software development practices, including coding assistants, agentic workflows, AI-assisted code generation and review, test generation, documentation support, migration support, and workflow automation.
- Practicing specification-driven development: clear intent, acceptance criteria, interface contracts, examples, non-functional requirements, and release criteria.
- Building strong automated testing systems, including TDD, ATDD, unit testing, integration testing, contract testing, regression automation, performance testing, and production validation.
Useful Additional Experience Includes:
- Lottery, gaming, payments, regulated transactional systems, or other high-reliability customer-facing platform experience.
- Polyglot environments with multiple languages, platforms, deployment models, and legacy architectures.
- Cloud-native development, platform engineering, infrastructure as code, containerized workloads, APIs, event-driven systems, and distributed systems.
- Test automation across unit, integration, contract, regression, performance, and end-to-end testing
Work Conditions
Scientific Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.
This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above.
SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. If you’d like more information about your equal employment opportunity rights as an applicant under the law, please click here for EEOC Poster.
See all 545+ Green Card VP Product Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card VP Product Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship in VP Product
Document your strategic product impact early
PERM requires your employer to define the job's minimum requirements before advertising the role. Gather evidence of P&L ownership, cross-functional leadership, and product outcomes now, so your job description accurately reflects the advanced-degree standard USCIS expects for EB-2.
Target companies with established PERM infrastructure
Many VP-level green card cases stall because the employer lacks an immigration attorney relationship or HR bandwidth for PERM audits. Look for companies that have filed PERM applications in the past three years, which signals an active sponsorship program rather than a first attempt.
Verify your role meets EB-2 specialty occupation criteria
Use O*NET to confirm the VP Product occupation profile requires a specific advanced degree, not just a generic bachelor's. If the role qualifies under Job Zone 5, you have a stronger foundation for an EB-2 filing over the lower-threshold EB-3 professional category.
Clarify sponsorship intent before the offer stage
Negotiate green card sponsorship as a written offer term, not a verbal assurance. Ask specifically whether the company will cover PERM advertising costs and attorney fees, since employers are legally required to pay those charges and cannot pass them to you.
Search for VP Product roles on Migrate Mate
Filter by green card sponsorship history to find employers who have completed EB-2 or EB-3 PERM filings for product leadership roles. Migrate Mate surfaces this data so you're applying to companies with a documented sponsorship track record, not just a careers-page promise.
Understand how PERM wage requirements affect your negotiation
Your offered salary must meet or exceed the prevailing wage determined by DOL for your specific job title and work location. Look up the applicable wage level using the OFLC Wage Search before negotiating, so your offer satisfies PERM requirements without requiring a salary amendment later.
Green Card VP Product: Frequently Asked Questions
Do VP Product roles typically qualify for EB-2 or EB-3 sponsorship?
Most VP Product positions qualify for EB-2 because the role requires an advanced degree in a specialized field such as computer science, engineering, or business. If your employer defines the minimum requirement as a bachelor's degree with significant experience, EB-3 professional is the fallback. The distinction matters because EB-2 priority dates are generally shorter for most countries outside India and China.
How does green card sponsorship differ from H-1B for a VP Product role?
Green card sponsorship through PERM and I-140 is permanent and carries no annual cap at the EB-3 level for most countries, unlike the H-1B lottery. The tradeoff is timeline: PERM advertising and DOL review can take six to twelve months before your I-140 is even filed. H-1B visa gets you working faster but leaves you dependent on annual status renewals and, for nationals of India and China, a priority date backlog that can span decades for EB-2.
What makes the PERM process more complex for VP Product than for individual contributor roles?
Executive and VP-level job descriptions attract more DOL scrutiny because the minimum requirements must be realistic, not tailored to a specific candidate. If the PERM advertisement lists requirements that match only your resume, DOL can audit the filing. Your employer's attorney should define the role's actual minimum education and experience before any advertising begins, not after you've already been selected.
How can I find VP Product jobs that already sponsor green cards?
Use Migrate Mate to search VP Product roles filtered by employment-based green card sponsorship history. Companies that have completed PERM filings for product leadership positions are more likely to have the legal infrastructure and budget to sponsor again. Applying to companies with no prior PERM history means you're asking them to build a program from scratch, which significantly increases timeline risk.
Can my employer start the PERM process while I'm still on H-1B?
Yes, and starting early is strategically important. PERM can be filed at any point during your H-1B status, and having an approved I-140 before your sixth H-1B year unlocks annual H-1B extensions beyond the standard six-year limit under AC21. For VP Product roles, where the hiring process alone can take months, asking your employer to initiate PERM shortly after your start date protects your long-term status.