H-1B1 Singapore Visa General Manager Jobs
General Manager roles qualify for H-1B1 Singapore visa sponsorship when the position requires specialized managerial expertise tied to a specialty occupation. With 5,400 annual visas and no lottery, Singaporean professionals can pursue U.S. leadership roles through consular processing, bypassing the uncertainty that blocks H-1B visa applicants each spring.
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Do you want to shape Amazon's experimentation and impact-measurement capabilities in the era of Generative AI? As we navigate the rapidly changing landscape of e-commerce, your role will be crucial in shaping how Amazon teams, sellers, and vendors optimize catalog listings for a superior customer experience. Join the Catalog Experimentation and Impact Measurement (CEM) team on our mission to create the best product listings that help customers make well-informed, fast buying decisions. We build the feedback loops that let Large Language Models and Amazon teams enrich product data through experimentation at Amazon scale.
What you'll own
In this role, you will lead the conceptualization, delivery, and worldwide adoption of the Catalog Experimentation Platform (CEP). Through experiments, we bring the voice of the customer to our business stakeholders. You will collaborate with economists to help users design experiments correctly, and guide them in interpreting outcomes generated through rigorous statistical analysis. You will advocate for decisions in the best interest of our customers even when the outcomes are unpleasant for the experimenters.
A central part of your charter is impact measurement. Measuring the impact of every initiative that intends to improve product data quality is crucial for prioritization decisions and for fine-tuning each initiative's strategy. CEM operates a two-part measurement approach: one that estimates how improvements in product data quality translate into incremental sales and customer benefit, and another through which partner teams run controlled experiments while the team reviews their design and aggregates results across the organization. You will collaborate with economists to identify and apply the best possible causal-inference methodology for each initiative, and you will extend the scope of the platform to make it the go-to destination at Amazon for measuring the impact of catalog improvement programs.
Finally, to make experimentation and impact measurement work at Amazon scale without compromising reliability, you will collaborate with your engineering counterparts to build systems for automation, self-service mechanisms, and guardrails.
Who you'll work with
You will partner closely with economists and scientists (for experiment design and causal inference), engineering counterparts (for automation, self-service, and guardrails), and the partner and enrichment teams across Amazon whose catalog programs depend on trustworthy impact measurement.
Key job responsibilities
- Work backwards from the customer experience to define strategy and build a product roadmap for the Catalog Experimentation Platform (CEP), used to run A/B experiments on catalog listings.
- Launch new products and features by partnering with CEP engineering and science teams.
- Drive adoption by partnering with the teams building large language models for the catalog and with business stakeholders across different product categories.
- Partner with economists and other product managers on the team to develop frameworks and shape how business stakeholders and leadership think about impact-measurement methodologies.
- Represent CEP in Amazon-wide forums on experimentation and impact measurement.
A day in the life
Learn about the strengths and challenges of experimentation platforms used across the industry. Develop product strategy — positioning, go-to-market, and competitive advantage — in collaboration with your engineering and science counterparts. Track key product metrics and communicate wins, misses, and learnings to your key stakeholders. Conduct office hours to guide experimentation users. Communicate strategy and key updates to org leadership through monthly flashes and business-review forums.
About the team
Amazon's customers rely on the completeness, consistency, and correctness of Amazon's product data to make well-informed purchase decisions, and improving the quality of that product data is a continuous process. Amazon Selection Catalog Systems (ASCS) is building the Catalog Experimentation and Impact Measurement platform (CEM), which enables teams across Amazon to make data-driven decisions about which product-data changes will simplify and improve the customer experience. It empowers its users to remove personal bias and let data guide decision-making by testing their hypotheses against a representative sample of a broader population. Not least, CEM helps large language models draw causal inferences between catalog-quality improvement actions and customer-experience metrics.
BASIC QUALIFICATIONS
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
PREFERRED QUALIFICATIONS
- Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: 151,200.00 - 204,600.00 USD annually
DESCRIPTION
Do you want to shape Amazon's experimentation and impact-measurement capabilities in the era of Generative AI? As we navigate the rapidly changing landscape of e-commerce, your role will be crucial in shaping how Amazon teams, sellers, and vendors optimize catalog listings for a superior customer experience. Join the Catalog Experimentation and Impact Measurement (CEM) team on our mission to create the best product listings that help customers make well-informed, fast buying decisions. We build the feedback loops that let Large Language Models and Amazon teams enrich product data through experimentation at Amazon scale.
What you'll own
In this role, you will lead the conceptualization, delivery, and worldwide adoption of the Catalog Experimentation Platform (CEP). Through experiments, we bring the voice of the customer to our business stakeholders. You will collaborate with economists to help users design experiments correctly, and guide them in interpreting outcomes generated through rigorous statistical analysis. You will advocate for decisions in the best interest of our customers even when the outcomes are unpleasant for the experimenters.
A central part of your charter is impact measurement. Measuring the impact of every initiative that intends to improve product data quality is crucial for prioritization decisions and for fine-tuning each initiative's strategy. CEM operates a two-part measurement approach: one that estimates how improvements in product data quality translate into incremental sales and customer benefit, and another through which partner teams run controlled experiments while the team reviews their design and aggregates results across the organization. You will collaborate with economists to identify and apply the best possible causal-inference methodology for each initiative, and you will extend the scope of the platform to make it the go-to destination at Amazon for measuring the impact of catalog improvement programs.
Finally, to make experimentation and impact measurement work at Amazon scale without compromising reliability, you will collaborate with your engineering counterparts to build systems for automation, self-service mechanisms, and guardrails.
Who you'll work with
You will partner closely with economists and scientists (for experiment design and causal inference), engineering counterparts (for automation, self-service, and guardrails), and the partner and enrichment teams across Amazon whose catalog programs depend on trustworthy impact measurement.
Key job responsibilities
- Work backwards from the customer experience to define strategy and build a product roadmap for the Catalog Experimentation Platform (CEP), used to run A/B experiments on catalog listings.
- Launch new products and features by partnering with CEP engineering and science teams.
- Drive adoption by partnering with the teams building large language models for the catalog and with business stakeholders across different product categories.
- Partner with economists and other product managers on the team to develop frameworks and shape how business stakeholders and leadership think about impact-measurement methodologies.
- Represent CEP in Amazon-wide forums on experimentation and impact measurement.
A day in the life
Learn about the strengths and challenges of experimentation platforms used across the industry. Develop product strategy — positioning, go-to-market, and competitive advantage — in collaboration with your engineering and science counterparts. Track key product metrics and communicate wins, misses, and learnings to your key stakeholders. Conduct office hours to guide experimentation users. Communicate strategy and key updates to org leadership through monthly flashes and business-review forums.
About the team
Amazon's customers rely on the completeness, consistency, and correctness of Amazon's product data to make well-informed purchase decisions, and improving the quality of that product data is a continuous process. Amazon Selection Catalog Systems (ASCS) is building the Catalog Experimentation and Impact Measurement platform (CEM), which enables teams across Amazon to make data-driven decisions about which product-data changes will simplify and improve the customer experience. It empowers its users to remove personal bias and let data guide decision-making by testing their hypotheses against a representative sample of a broader population. Not least, CEM helps large language models draw causal inferences between catalog-quality improvement actions and customer-experience metrics.
BASIC QUALIFICATIONS
- 5+ years of product or program management, product marketing, business development or technology experience
- Bachelor's degree
- Experience with feature delivery and tradeoffs of a product
- Experience owning/driving roadmap strategy and definition
- Experience with end to end product delivery
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience managing technical products or online services
- Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning
PREFERRED QUALIFICATIONS
- Bachelor's degree in math/statistics/engineering or other equivalent quantitative discipline
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
LOCATION
USA, WA, Seattle
COMPENSATION
- Salary Range: 151,200.00 - 204,600.00 USD annually
See all 50+ H-1B1 Singapore Visa General Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa General Manager Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a General Manager
Verify your role meets specialty occupation standards
General Manager positions must require a bachelor's degree or higher in a specific field to qualify under H-1B1 visa. Use O*NET to confirm your SOC code and document how your role demands specialized knowledge, not just broad management experience.
Target employers with active LCA filing histories
Search Migrate Mate to identify U.S. companies that have filed Labor Condition Applications for General Manager or senior operations roles. Employers already familiar with LCA certification move faster and make fewer errors during your sponsorship process.
Prepare a degree equivalency letter before applying
If your Singaporean degree is three years rather than four, secure a credential evaluation from a NACES-accredited evaluator before submitting applications. U.S. employers often flag this gap late in the offer process, which delays your timeline unnecessarily.
Confirm the employer will file the LCA before your interview
The DOL must certify your LCA before you can attend your consular interview. Ask your prospective employer whether they use in-house HR or outside counsel for OFLC filings, and get a projected certification timeline in writing during negotiations.
Check prevailing wage levels using OFLC Wage Search
Your employer's offered compensation must meet the DOL prevailing wage for your specific SOC code and work location. Run the OFLC Wage Search yourself before accepting an offer so you can flag any shortfall before the LCA is filed.
Use your H-1B1 status window to negotiate start dates strategically
H-1B1 visas are issued in two-year increments with no lottery delay, so your consular appointment can often be scheduled within weeks of LCA certification. Build this timeline into your notice period conversation with your Singaporean employer before resigning.
Frequently Asked Questions
Does a General Manager role actually qualify for the H-1B1 Singapore visa?
It depends on how the role is structured. General Manager positions qualify when they require a specific bachelor's degree in a directly related field, such as business administration, operations management, or a relevant technical discipline. Broad managerial titles without a defined specialty occupation requirement don't qualify. Your employer's LCA must document the degree requirement explicitly, and USCIS will review the role's duties against that standard.
How does the H-1B1 Singapore visa compare to H-1B for General Manager roles?
The H-1B1 Singapore visa has a 5,400-visa annual cap that rarely fills, so there's no lottery and no April registration deadline. H-1B is subject to an 85,000-cap lottery that selects only about one in four registrants in competitive years. For Singaporean professionals in General Manager roles, H-1B1 means a predictable consular processing timeline rather than leaving a job offer contingent on a random selection outcome.
Which U.S. employers typically sponsor H-1B1 Singapore visas for General Manager positions?
Employers in technology, financial services, logistics, and multinational manufacturing tend to have the HR infrastructure and legal counsel familiar with H-1B1 visa Labor Condition Application requirements. Companies with existing Singapore operations or regional headquarters are especially likely to sponsor because they already understand Singaporean credentials and employment contracts. Use Migrate Mate to search for employers with verified LCA filing histories for senior management roles.
Can I switch employers after arriving in the U.S. on an H-1B1 Singapore visa?
Yes, but the H-1B1 visa doesn't carry H-1B portability protections. Your new employer must file a fresh LCA with DOL and receive certification before you can begin work with them. Unlike H-1B, you can't start with the new employer upon filing. Plan for a gap of several weeks between roles while the new LCA is processed and your visa is updated.
What documents should I prepare before a General Manager sponsorship conversation with a U.S. employer?
Bring your degree certificates with a NACES credential evaluation if your qualification is a three-year Singaporean degree, a concise breakdown of your management scope showing specialized expertise rather than general oversight, and your Singapore passport confirming citizenship. Employers unfamiliar with H-1B1 visa often conflate it with H-1B, so having a one-page summary of H-1B1 mechanics, including the no-lottery and consular processing points, helps HR teams move forward without unnecessary delays.