H-1B1 Singapore Visa Enterprise Account Manager Jobs
Enterprise Account Manager jobs with H-1B1 Singapore visa sponsorship are open to Singaporean nationals without a lottery or USCIS petition. The H-1B1 cap of 5,400 rarely fills, and you apply directly at a U.S. consulate. Roles in SaaS, cloud infrastructure, and enterprise software consistently file H-1B1 Labor Condition Applications.
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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 354+ H-1B1 Singapore Visa Enterprise Account Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Enterprise Account Manager Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as an Enterprise Account Manager
Verify your role qualifies as specialty occupation
Enterprise Account Manager positions require a theoretical and practical application of highly specialized knowledge. Pull the O*NET profile for your exact role and confirm the typical education requirement is a bachelor's degree in a specific field like business, marketing, or computer science before you apply.
Target employers with active LCA filing history
Search Migrate Mate to identify employers who have filed Labor Condition Applications for Enterprise Account Manager or similar titles. Companies already familiar with the H-1B1 Singapore process move faster and rarely require internal legal approval cycles from scratch.
Request the LCA before your offer letter finalizes
Your employer files the LCA with DOL before your consulate appointment. Ask your recruiter explicitly whether the LCA can run concurrently with offer negotiation, not after. Delays here can push your start date by weeks.
Cross-reference your offered salary against OFLC Wage Search
Run your job title and work location through OFLC Wage Search to find the prevailing wage for your specific geographic area. Your offered salary must meet or exceed the wage level on the certified LCA, and discrepancies discovered late can stall the entire filing.
Prepare credentials that satisfy the specialty occupation test
Consolidate your NUS, NTU, or SMU transcripts and any relevant professional certifications before reaching the offer stage. U.S. consular officers assess whether your specific degree field directly relates to the account management role, so a business degree with a finance or technology concentration strengthens your case.
Use the 10-day post-validity grace period strategically
The H-1B1 visa includes a 10-day grace period after each authorized validity period ends. If you're transitioning between Enterprise Account Manager roles, your new employer's LCA must be filed and the process initiated before that window closes to maintain lawful status.
Frequently Asked Questions
Does an Enterprise Account Manager role qualify for the H-1B1 Singapore visa?
Yes, if the position requires at least a bachelor's degree in a specific field such as business administration, marketing, or information technology. Generic sales roles that accept any degree regardless of field typically do not qualify. The employer must document in the Labor Condition Application that the role meets the specialty occupation definition, so the job description matters as much as your credentials.
How does the H-1B1 Singapore visa compare to the H-1B for Enterprise Account Manager jobs?
The H-1B1 Singapore has no lottery, no USCIS petition, and an annual cap of 5,400 that rarely comes close to filling. You apply directly at a U.S. consulate with a certified LCA from DOL, which is significantly faster than the H-1B visa petition process. The main trade-off is that the H-1B1 does not carry dual intent, so you cannot simultaneously pursue permanent residency on this status.
How do I find employers actively sponsoring H-1B1 Singapore visas for account management roles?
Migrate Mate filters job listings by employers with verified H-1B1 visa and LCA filing history, so you can identify companies that have sponsored Singaporean professionals in Enterprise Account Manager or adjacent roles before. This saves time compared to applying broadly and discovering late in the process that a company has never filed an H-1B1 LCA.
What documents do I need for an H-1B1 Singapore consulate appointment as an Enterprise Account Manager?
You'll need the certified LCA from DOL, your DS-160 confirmation, a valid Singaporean passport, your degree transcripts and certificates, and a support letter from your U.S. employer describing the role and its specialty occupation requirements. If your degree field is not an exact match for the account management role, a detailed employer letter explaining the connection between your education and the position is critical.
Can I switch Enterprise Account Manager employers while on H-1B1 Singapore status?
Yes, but the new employer must file and receive a certified LCA from DOL before you begin working for them. Unlike H-1B portability under AC21, there is no grace period that allows you to start with the new employer while the filing is pending. You have a 10-day grace period after your current validity period ends to initiate the transition, so planning ahead is essential.