H-1B1 Chile Visa Engineering Manager Jobs
Engineering Manager jobs with H-1B1 Chile visa sponsorship skip the H-1B lottery entirely. As a Chilean national, your 1,400-visa annual cap rarely fills, and you apply directly at the consulate rather than waiting on USCIS adjudication, giving you a faster, more predictable path to U.S. engineering leadership roles.
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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 291+ H-1B1 Chile Visa Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B1 Chile Visa Engineering Manager Jobs.
Get Access To All JobsTips for Finding Visa Sponsorship as an Engineering Manager
Translate your engineering credentials early
Chilean engineering titles require a USCIS-recognized equivalency to a U.S. bachelor's degree in engineering or a directly related field. Get a credential evaluation completed before you start applying so sponsors aren't stalled at the offer stage.
Pull your prevailing wage before negotiating
Your offer must meet the DOL prevailing wage for Engineering Manager in your target metro. Look up the current wage level using the OFLC Wage Search before salary discussions, so you negotiate from the correct floor, not below it.
Search H-1B1 Chile filers on Migrate Mate
Find Engineering Manager roles at companies with documented H-1B1 Chile sponsorship history using Migrate Mate. Targeting employers who've filed before cuts the time spent educating HR about a visa most U.S. companies haven't processed.
Distinguish H-1B1 Chile from standard H-1B when briefing recruiters
Most U.S. engineering hiring managers default to H-1B when you mention sponsorship. Clarify upfront that H-1B1 Chile has no lottery and no USCIS petition filing, which reduces employer cost and timeline anxiety at the offer stage.
Verify your employer is E-Verify enrolled before accepting
H-1B1 Chile employers must be E-Verify participants. Confirm enrollment before you sign. If a company isn't enrolled, they need to register with E-Verify before filing your Labor Condition Application with DOL, adding lead time to your start date.
Frame your LCA filing window into your start date
Your employer files the Labor Condition Application with DOL before your consulate appointment. DOL certification typically takes seven business days. Build that window into your offer negotiation so your target start date accounts for LCA processing and consulate scheduling.
Frequently Asked Questions
Does an Engineering Manager role qualify as a specialty occupation under H-1B1 Chile?
Yes. Engineering Manager is classified under O*NET as requiring at least a bachelor's degree in engineering, computer science, or a closely related technical field. That direct degree-to-role relationship satisfies the specialty occupation requirement. Generalist management experience alone won't qualify; the role must be grounded in a specific engineering discipline.
How does H-1B1 Chile differ from H-1B for Engineering Manager positions?
The H-1B requires a lottery selection that admitted roughly one in four registrants in recent fiscal years. H-1B1 Chile has no lottery, a separate 1,400-visa annual cap that has never been exhausted, and processes through consular interview rather than a USCIS petition. For Chilean engineering professionals, that means a predictable timeline without a random selection event blocking the path entirely.
How can I find Engineering Manager jobs with H-1B1 Chile visa sponsorship?
Use Migrate Mate to filter for employers with verified H-1B1 Chile filing history in engineering and technology sectors. Targeting companies that have sponsored the visa before reduces friction at the offer stage, since their legal and HR teams already understand the Labor Condition Application process and consulate-based filing requirements specific to Chilean nationals.
What documents should I have ready before a U.S. employer agrees to sponsor my H-1B1 Chile visa?
Prepare a credential evaluation confirming your Chilean engineering degree is equivalent to a U.S. bachelor's degree, your current resume with role-specific technical scope clearly documented, and any professional certifications relevant to your engineering discipline. Employers will also need your passport details and intended start date to complete the Labor Condition Application with DOL before your consulate appointment.
Can I switch Engineering Manager roles while on H-1B1 Chile status?
Yes, but each new employer must file a new Labor Condition Application with DOL and you must obtain a new H-1B1 Chile visa stamp before beginning work with the new company. Unlike H-1B, there is no portability provision that lets you start working upon filing. Plan your transition timeline around the LCA certification period and consulate appointment availability.