H-1B1 Singapore Visa Solutions Architect Manager Jobs
H-1B1 Singapore visa sponsorship lets Singaporean professionals step into Solutions Architect Manager roles in the U.S. without a lottery. With a 5,400-visa annual cap that rarely fills, consulate processing in Singapore, and no USCIS petition required, the path from offer letter to approval is faster and more predictable than most candidates expect.
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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 713+ H-1B1 Singapore Visa Solutions Architect Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Singapore Visa Solutions Architect Manager Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as a Solutions Architect Manager
Translate your credentials into U.S. architecture frameworks
Singaporean ITIL, AWS, or GCP certifications carry weight, but U.S. hiring managers also look for alignment with TOGAF or the NIST Cybersecurity Framework. Map your existing credentials to these standards before applying so your resume speaks the right language.
Check employer LCA filings by job code
Solutions Architect Manager roles typically file under SOC code 15-1299 or 11-3021. Use the OFLC Wage Search to confirm which companies have certified LCAs for those codes, then prioritize outreach to those employers over ones with no H-1B1 visa history.
Search verified H-1B1 sponsoring employers on Migrate Mate
Migrate Mate filters job listings by employers with confirmed H-1B1 Singapore filing history, so you're not wasting applications on companies that have never sponsored this visa category. Target your outreach before the interview stage.
Request a specialty occupation letter during offer negotiation
Before signing, ask your future employer to prepare a specialty occupation support letter tied to your specific role scope. For Solutions Architect Manager positions, the letter should link your responsibilities to a bachelor's-level requirement in computer science, engineering, or a directly related field.
Confirm your employer's E-Verify enrollment before your start date
E-Verify enrollment is mandatory for H-1B1 visa employers under DOL rules. If your employer isn't enrolled, your work authorization paperwork stalls. Verify enrollment status directly with HR before you give notice at your current role.
Time your consulate appointment around Singapore MOM leave cycles
U.S. consulate appointment slots in Singapore thin out around Singapore public holidays and Singaporean Ministry of Manpower peak periods. Book your appointment the moment your LCA is certified, not after you've finished reviewing your offer package.
Frequently Asked Questions
Does a Solutions Architect Manager role qualify as a specialty occupation under the H-1B1 Singapore visa?
Yes. USCIS requires that H-1B1 visa roles involve a body of specialized knowledge and at least a bachelor's degree in a directly related field. Solutions Architect Manager positions routinely satisfy this because they require applied expertise in enterprise architecture, systems integration, or cloud infrastructure at a level attainable through a relevant degree in computer science, information systems, or engineering.
How does the H-1B1 Singapore visa compare to the H-1B for this role?
The H-1B1 visa skips the lottery entirely, which means a qualified Singaporean candidate with a job offer can proceed directly to consulate processing without waiting for an annual selection event. The H-1B visa annual cap is 65,000, subject to a lottery that selected roughly one in four registrants in recent cycles. The H-1B1 has a 5,400-visa Singapore allocation that has never been exhausted, and USCIS petition filing is not required.
How do I find employers actively sponsoring H-1B1 visas for Solutions Architect Manager positions?
Use Migrate Mate to search job listings filtered by employers with verified H-1B1 Singapore filing history. Most general job boards don't surface visa sponsorship type, so you can't distinguish H-1B1-ready employers from those that only know the H-1B process. Migrate Mate's data comes from DOL Labor Condition Application records, which are publicly disclosed and updated regularly.
What happens to my H-1B1 status if I'm promoted from Solutions Architect to Solutions Architect Manager at the same employer?
A promotion that materially changes your job duties, title, or SOC code typically requires a new LCA certification from DOL and a new H-1B1 visa application at the consulate. Your employer should file the updated LCA before the promotion takes effect. Continuing to work under a mismatched LCA creates a compliance issue for both you and the employer under DOL rules.
Can my employer apply for an H-1B1 visa on my behalf if they've only ever filed H-1B petitions?
Yes, but they'll need guidance on the differences. The H-1B1 visa doesn't require a USCIS-approved I-129 petition before consulate processing, which changes the employer's workflow significantly. The DOL LCA process is the same, but the consulate appointment replaces the USCIS adjudication step. Employers unfamiliar with H-1B1 procedures sometimes try to apply the H-1B workflow, which causes delays.