E-3 Visa Manufacturing Engineering Manager Jobs
Manufacturing Engineering Manager roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in engineering or a related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals targeting U.S. manufacturing leadership positions with employer sponsorship.
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At Amazon, data is critical to everything we do, from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel, helping us to understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform this data at unparalleled scale. BDT owns, develops, and operates Andes, one of the largest data lakes in the world, storing 3+ exabytes of data, read/written to by 100k+ data pipelines, with >60k monthly active users. To do this, we need extraordinary individuals to build the next generation of data analytics, machine learning, and AI solutions for thousands of scientists, engineers, and analysts who rely upon us to get their jobs done.
The BDT-AI4ME organization works to bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
As a Principal Technical Program Manager in the BDT-AI4ME organization, you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazon’s business teams work with their data teams, and you seek to reduce friction and error-proneness of those interactions using AI. You drive lightweight mechanisms that bring visibility to leadership, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Directors, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role does not support just one organization but rather focuses on best practices that can be applicable to multiple organizations across Amazon.
Key job responsibilities
You focus on the needs of business users as they navigate data from question to insight. You formulate goals and plans for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement, process optimization, role guidelines, and org design.
As part of a broader team, you collaborate with other technical program managers to ensure that work in your space aligns with work and plans of other teams across BDT and other organizations. You establish mechanisms for inspection and awareness of progress across cross cutting initiatives.
Data drives your “flywheel”. You analyze data to glean insights that drive experimentation. You leverage data such as service telemetry, user feedback, and industry trends to surface opportunities for improvement. You take what’s proven and partner with Amazon organizations to apply and scale it. You define, implement, and monitor metrics that track your progress.
You partner with Amazon’s business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You give feedback on narratives, contribute to strategy (e.g., OP1 planning), set goals, discuss weekly business metrics, and more.
You partner with Amazon’s PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You partner with engineering, human resources, legal, documentation, solution architecture, privacy, finance, and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner, you hold yourself and partners accountable for the highest quality user outcomes.
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience driving complex programs using judgment and data, including collaborating with stakeholders and internal partners
- Experience improving processes for program management and for collaboration with partner teams
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating, influencing, planning, and executing across teams
PREFERRED QUALIFICATIONS
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases, data lakes, storage, and distributed systems, including architectural and operational aspects
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: 177,000.00 - 239,400.00 USD annually
DESCRIPTION
At Amazon, data is critical to everything we do, from understanding product inventories across our global fulfillment centers to predicting what products to recommend to customers. Data ceaselessly informs our flywheel, helping us to understand customer needs, onboard new sellers and selection, and identify opportunities for cost savings. Business Data Technologies (BDT) provides trustworthy, intuitive, and cost-efficient solutions for Amazonians to secure, store, analyze, and transform this data at unparalleled scale. BDT owns, develops, and operates Andes, one of the largest data lakes in the world, storing 3+ exabytes of data, read/written to by 100k+ data pipelines, with >60k monthly active users. To do this, we need extraordinary individuals to build the next generation of data analytics, machine learning, and AI solutions for thousands of scientists, engineers, and analysts who rely upon us to get their jobs done.
The BDT-AI4ME organization works to bring AI-centric methodologies and automations to Amazon organizations needing to connect their business teams and objectives with their data teams and architectures. The BDT-AI4ME organization seeks to lower the cognitive load needed to connect business to data through best of class agents and AI-ready metadata to allow anyone to access data to gain insights.
As a Principal Technical Program Manager in the BDT-AI4ME organization, you understand ways that enterprises apply AI to solve business and technical problems. You understand the ways that Amazon’s business teams work with their data teams, and you seek to reduce friction and error-proneness of those interactions using AI. You drive lightweight mechanisms that bring visibility to leadership, share best practices, and provide better communication and collaboration across teams. This role works closely with Tech Directors, VPs and Principal Engineers to identify patterns, new trends, goals and areas for cross-org collaboration. This role does not support just one organization but rather focuses on best practices that can be applicable to multiple organizations across Amazon.
Key job responsibilities
You focus on the needs of business users as they navigate data from question to insight. You formulate goals and plans for transforming the ways Amazon extracts value from its data through iterative improvements involving AI enablement, process optimization, role guidelines, and org design.
As part of a broader team, you collaborate with other technical program managers to ensure that work in your space aligns with work and plans of other teams across BDT and other organizations. You establish mechanisms for inspection and awareness of progress across cross cutting initiatives.
Data drives your “flywheel”. You analyze data to glean insights that drive experimentation. You leverage data such as service telemetry, user feedback, and industry trends to surface opportunities for improvement. You take what’s proven and partner with Amazon organizations to apply and scale it. You define, implement, and monitor metrics that track your progress.
You partner with Amazon’s business orgs to test hypotheses and deploy AI-based solutions to reduce friction and risk of errors in the ways that businesses use data.
You give feedback on narratives, contribute to strategy (e.g., OP1 planning), set goals, discuss weekly business metrics, and more.
You partner with Amazon’s PXT organization to evolve and optimize roles guidelines and org design best practices to align with the way businesses are evolving their practices around getting insights from their data.
You partner with engineering, human resources, legal, documentation, solution architecture, privacy, finance, and more to optimize usage of the Andes data lake for AI-based methodologies.
As an owner, you hold yourself and partners accountable for the highest quality user outcomes.
BASIC QUALIFICATIONS
- 7+ years of technical product or program management experience
- 10+ years of working directly with engineering teams experience
- Experience managing programs across cross functional teams, building processes and coordinating release schedules
- Experience driving complex programs using judgment and data, including collaborating with stakeholders and internal partners
- Experience improving processes for program management and for collaboration with partner teams
- Experience influencing executive leadership through verbal and written communication
- Experience negotiating, influencing, planning, and executing across teams
PREFERRED QUALIFICATIONS
- Knowledge of current trends and approaches to applying AI to business needs
- Technical depth in databases, data lakes, storage, and distributed systems, including architectural and operational aspects
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: 177,000.00 - 239,400.00 USD annually
See all 68+ E-3 Visa Manufacturing Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Manufacturing Engineering Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Manufacturing Engineering Manager
Translate your Australian engineering credentials early
U.S. employers expect a four-year bachelor's degree, but Australian three-year engineering degrees are generally accepted as equivalent. Prepare a credential evaluation from a NACES-approved evaluator before you start applying so hiring teams aren't surprised.
Target manufacturers already filing Labor Condition Applications
Search the DOL's OFLC disclosure data for companies that have filed LCAs for engineering manager roles. Employers with active LCA history understand the E-3 visa process and are far more likely to move forward quickly after an offer.
Use Migrate Mate to find roles with E-3 sponsorship
Manufacturing Engineering Manager openings with E-3 sponsorship are concentrated in automotive, aerospace, and industrial equipment sectors. Migrate Mate filters roles by visa sponsorship type so you're not guessing which employers will support your E-3 application.
Clarify the LCA prevailing wage before accepting an offer
Your employer files the LCA with the DOL before your consulate appointment, and it must certify your offered wage meets the prevailing wage for your role and location. Confirm this matches your offer letter before the filing begins to avoid delays.
Use Migrate Mate's E-3 filing service for your paperwork
Once you have an offer, your employer needs to file the LCA and prepare your DS-160 and support documents. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end, from DOL certification through consulate appointment.
Request a two-year E-3 stamp at your consulate interview
E-3 visas are issued in two-year increments with no cap on renewals. If your consulate issues a shorter validity period, you can renew before it expires while remaining employed, so your work authorization stays continuous throughout your role.
E-3 Visa Manufacturing Engineering Manager: Frequently Asked Questions
How do I find Manufacturing Engineering Manager jobs that offer E-3 visa sponsorship?
Manufacturing Engineering Manager roles with E-3 sponsorship appear most frequently in automotive, aerospace, and industrial manufacturing. Migrate Mate lists roles filtered by E-3 sponsorship eligibility, so you can focus on employers already familiar with the visa process rather than cold-applying and asking hiring managers to research the E-3 from scratch.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Manufacturing Engineering Manager role qualify as an E-3 specialty occupation?
Yes. Manufacturing Engineering Manager positions require a bachelor's degree in mechanical, industrial, or manufacturing engineering, which meets the specialty occupation definition under E-3 rules. The role must be tied to that specific field of study, so a generic management degree without an engineering component can create complications during the LCA or consulate review.
How does the E-3 visa compare to H-1B for Manufacturing Engineering Manager roles?
The E-3 has no lottery and no annual cap, so you can apply any time you have a qualifying job offer. H-1B visa registrations are capped at 85,000 per year and subject to a random lottery, meaning qualified candidates are routinely excluded. For Australian engineers, the E-3 is a faster and more predictable path to U.S. employment in manufacturing leadership.
Can I change employers or move to a different manufacturing site on an E-3?
You can change employers, but your new employer must file a fresh LCA with the DOL before you start work. Changing worksites within the same employer may also require an amended LCA if the new location has a different prevailing wage area. Plan the transition so your new LCA is certified before your last day with your current employer.