E-3 Visa Production Engineering Manager Jobs
Production Engineering Manager roles in the U.S. qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in engineering or a closely related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals targeting U.S. manufacturing, process, or industrial operations leadership.
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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 61+ E-3 Visa Production Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Production Engineering Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Production Engineering Manager
Align your credentials to U.S. specialty occupation standards
Your Australian engineering degree needs to map directly to the Production Engineering Manager role's requirements. A three-year bachelor's degree is generally accepted as equivalent to a U.S. four-year degree, but confirm your transcript reflects a field-specific qualification, not a general science degree.
Target employers with active LCA filing history
Search the DOL's Foreign Labor Application Gateway disclosure data for employers who have previously filed Labor Condition Applications for engineering manager roles. Prior LCA activity signals the hiring team already understands the E-3 visa sponsorship process and won't treat it as an unknown risk.
Use Migrate Mate to find verified sponsoring employers
Finding production engineering roles with genuine E-3 sponsorship willingness is faster when you search a platform built for it. Use Migrate Mate to surface employers actively hiring Australian professionals and filter by roles that match your engineering management background.
Clarify your role qualifies before accepting an offer
Not every Production Engineering Manager title qualifies as a specialty occupation. Before signing, confirm the job description explicitly requires a bachelor's degree in a specific engineering discipline. Roles where any degree satisfies the requirement can fail the DOL's specialty occupation test.
Have your employer file the LCA before your start date
The LCA must be certified by the DOL before your consulate appointment can proceed. USCIS requires it as part of the E-3 application packet. Build at least two to three weeks of DOL processing time into your timeline between offer acceptance and your target start date.
Streamline your filing with Migrate Mate's E-3 filing service
Production Engineering Manager applications involve coordinating the LCA, DS-160, and consulate scheduling simultaneously. Use Migrate Mate's E-3 filing service to manage the entire process from offer letter to consulate appointment, reducing the chance of documentation errors that delay your visa.
E-3 Visa Production Engineering Manager: Frequently Asked Questions
How do I find Production Engineering Manager jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter by job title and see employers with a history of sponsoring Australian candidates. Generic job boards rarely surface E-3-specific sponsorship information, which makes a targeted search tool essential for this visa category.
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 Production Engineering Manager role qualify as an E-3 specialty occupation?
Yes, provided the role requires a bachelor's degree in a specific engineering discipline such as industrial, mechanical, manufacturing, or process engineering. The qualification requirement must be a genuine minimum, not a preference. If the job description accepts any degree field or substitutes experience freely for education, the specialty occupation standard may not be met, and the E-3 application could be denied.
How does the E-3 compare to the H-1B for Production Engineering Manager roles?
The E-3 is significantly more predictable for Australian professionals. There is no lottery, no annual cap to worry about, and the application goes directly to a U.S. consulate in Australia rather than through a USCIS petition queue. H-1B visa selection is random and capped at 85,000 per fiscal year. For a qualified Production Engineering Manager with an Australian employer willing to file an LCA, the E-3 is the faster and more reliable path.
Can I change employers while on an E-3 as a Production Engineering Manager?
You can change employers, but the E-3 does not transfer automatically. Your new employer must file a fresh LCA with the DOL, and you will typically need to attend a new consulate appointment in Australia to obtain a visa stamp reflecting the new employer. You cannot simply present your existing E-3 stamp to start work for a different company, so factor consulate wait times into your transition planning.