E-3 Visa Sales Engineering Manager Jobs
Sales Engineering Manager roles sit at the intersection of technical expertise and enterprise sales leadership, making them strong candidates for E-3 visa sponsorship. Australian professionals with a relevant degree and a U.S. employer willing to file a Labor Condition Application can secure two-year renewable status with no lottery and no annual cap.
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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 57+ E-3 Visa Sales Engineering Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Sales Engineering Manager Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Sales Engineering Manager
Align your credentials to the LCA job category
DOL's Labor Condition Application requires your role to match a specific occupational classification. Sales Engineering Manager positions typically file under SOC 41-3999 or 11-2022. Confirm your offer letter's job duties map to one of these codes before your employer submits.
Target employers with active LCA filing history
Search DOL's OFLC disclosure data for companies that have previously certified LCAs for sales engineering or technical sales manager roles. Employers who've done it before move faster and make fewer errors on your paperwork.
Frame your Australian enterprise sales experience precisely
U.S. hiring managers sometimes undervalue experience with ANZ or APAC enterprise accounts. Translate your deal sizes, customer tiers, and technical stack into U.S. market equivalents on your resume to clear the specialty occupation threshold with the consular officer.
Clarify the prevailing wage tier before accepting an offer
Your offer must meet DOL's prevailing wage for your SOC code and work location. Sales Engineering Manager wages vary significantly by metro. Confirm the wage level with your employer before signing, since a below-threshold offer triggers LCA rejection.
Use Migrate Mate's E-3 filing service to streamline your post-offer process
Once you have an offer, the LCA certification and DS-160 preparation move quickly. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork so you can schedule your consulate appointment without delays or missing required attestations.
Prepare for specialty occupation questions at the consulate
Consular officers sometimes probe whether a Sales Engineering Manager role truly requires a bachelor's degree. Bring your job offer letter, a degree certificate, and a brief written explanation of how your engineering background directly shapes your sales methodology and client technical assessments.
E-3 Visa Sales Engineering Manager: Frequently Asked Questions
How do I find Sales Engineering Manager jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for this search. It filters jobs by E-3 sponsorship history so you're not wasting applications on employers who've never filed an LCA. Sales Engineering Manager roles appear across enterprise software, cloud infrastructure, and industrial technology sectors, and Migrate Mate surfaces the ones where Australian candidates have a clear path to sponsorship.
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 the E-3 visa give Sales Engineering Managers an advantage over H-1B applicants?
Yes, in a meaningful way. The H-1B visa has an 85,000-slot annual cap and requires a lottery, so your employer's sponsorship offer could be wasted if you're not selected. The E-3 has a 10,500-slot annual allocation that has never been exhausted, meaning you can file at any time of year, your employer gets certainty, and you can start without waiting for an October fiscal year start date.
Does my Australian bachelor's degree satisfy the E-3 specialty occupation requirement for this role?
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees for E-3 purposes, but the degree field must align with the Sales Engineering Manager position. A degree in electrical engineering, computer science, or a technical discipline directly supports the specialty occupation argument. A general commerce degree may require additional documentation showing technical course content or relevant work experience.
Can I switch employers or get promoted while on an E-3 as a Sales Engineering Manager?
Changing employers requires your new employer to file a fresh LCA and obtain a new E-3 visa stamp, typically requiring a consulate visit. An internal promotion that changes your job title or substantially alters your duties also triggers a new LCA. You can continue working for your existing employer while the new filing is in process, but you cannot start with a new employer until the new visa is approved.