E-3 Visa AI Data Engineer Jobs
AI Data Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, data engineering, or a related field. The E-3 has no lottery and no annual cap, so Australian professionals can apply as soon as they have a qualifying job offer from a U.S. employer.
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Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is seeking an innovative and entrepreneurial Senior Director of Product Management to lead key feature areas of the Data 360 team — helping scale our $1B+ product business and shape the next era of enterprise data innovation.
The Experience
Data 360 unlocks the full value of your data across the enterprise for business outcomes. Natively built on the Salesforce Platform, Data Cloud powers your Customer 360 apps, predictive AI and AI agents from Agentforce, and amplifies your existing data lake or warehouse investments to activate real-time insights and intelligent action.
Data Cloud enables companies to ingest, harmonize, unify, and activate data across every touchpoint to deliver deeply personalized experiences, intelligent automation, and trusted AI—all in real time. With Data Cloud, Salesforce customers turn data into action, unlocking enterprise value at scale.
What You'll Actually Be Doing
- Own the complete product lifecycle for Data and AI features, from market analysis and requirements definition through release planning and adoption.
- Develop and maintain a product strategy for your area of ownership that aligns with overall product direction, and own the detailed product roadmap for your feature areas.
- Partner closely with engineering, UX, and other product teams to build and deliver high-quality features in an agile environment.
- Translate customer needs and market trends into actionable product requirements, and engage directly with customers for feedback and validation.
- Collaborate with go-to-market teams to launch new features, providing product expertise for sales enablement.
- Champion your feature areas internally and externally, acting as a subject matter expert.
You're Our Person If...
- You have 8+ years of product management experience with a proven track record of successful product delivery.
- You have direct experience working with data and AI products.
- You can define and execute product roadmaps, translating technical concepts into clear, actionable designs.
- You have excellent communication skills and can articulate complex technical concepts to diverse audiences, including executives.
- You bring strong analytical skills and a data-driven approach to decision making.
- A related technical degree required.
Even Better If...
- You have experience with enterprise SaaS product management, especially in data platforms or AI/Machine Learning (ML) products.
- You are familiar with the Salesforce Platform, Data Cloud, or CRM products.
- You have experience working with customers and global teams.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce is seeking an innovative and entrepreneurial Senior Director of Product Management to lead key feature areas of the Data 360 team — helping scale our $1B+ product business and shape the next era of enterprise data innovation.
The Experience
Data 360 unlocks the full value of your data across the enterprise for business outcomes. Natively built on the Salesforce Platform, Data Cloud powers your Customer 360 apps, predictive AI and AI agents from Agentforce, and amplifies your existing data lake or warehouse investments to activate real-time insights and intelligent action.
Data Cloud enables companies to ingest, harmonize, unify, and activate data across every touchpoint to deliver deeply personalized experiences, intelligent automation, and trusted AI—all in real time. With Data Cloud, Salesforce customers turn data into action, unlocking enterprise value at scale.
What You'll Actually Be Doing
- Own the complete product lifecycle for Data and AI features, from market analysis and requirements definition through release planning and adoption.
- Develop and maintain a product strategy for your area of ownership that aligns with overall product direction, and own the detailed product roadmap for your feature areas.
- Partner closely with engineering, UX, and other product teams to build and deliver high-quality features in an agile environment.
- Translate customer needs and market trends into actionable product requirements, and engage directly with customers for feedback and validation.
- Collaborate with go-to-market teams to launch new features, providing product expertise for sales enablement.
- Champion your feature areas internally and externally, acting as a subject matter expert.
You're Our Person If...
- You have 8+ years of product management experience with a proven track record of successful product delivery.
- You have direct experience working with data and AI products.
- You can define and execute product roadmaps, translating technical concepts into clear, actionable designs.
- You have excellent communication skills and can articulate complex technical concepts to diverse audiences, including executives.
- You bring strong analytical skills and a data-driven approach to decision making.
- A related technical degree required.
Even Better If...
- You have experience with enterprise SaaS product management, especially in data platforms or AI/Machine Learning (ML) products.
- You are familiar with the Salesforce Platform, Data Cloud, or CRM products.
- You have experience working with customers and global teams.
Unleash Your Potential
When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.
At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.
The typical base salary range for this position is $218,400 - $365,200 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $263,200 - $401,400 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
See all 1,413+ E-3 Visa AI Data Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI Data Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI Data Engineer
Align your credentials to U.S. specialty occupation standards
DOL requires your degree field to directly relate to the AI Data Engineer role. A computer science or data engineering degree maps cleanly, but if yours is in a tangential field, document how your coursework covers machine learning pipelines, distributed systems, or cloud data architecture.
Target employers with active LCA filing histories
U.S. employers file a Labor Condition Application with DOL before sponsoring any E-3 visa. Search DOL's Office of Foreign Labor Certification disclosure data to confirm a prospective employer has filed LCAs for data engineering or AI roles before approaching them.
Search for E-3 sponsorship roles on Migrate Mate
Most job boards don't filter by visa type, so you end up cold-applying to roles where sponsorship was never on the table. Migrate Mate surfaces AI Data Engineer roles specifically listed with E-3 sponsorship, cutting out the guesswork before you invest time in applications.
Negotiate LCA filing into your offer timeline
The LCA must be certified by DOL before your visa application, which adds roughly one to two weeks to the timeline. Raise this during offer negotiation so your start date accounts for LCA certification and consulate appointment scheduling, not just your notice period.
Use Migrate Mate's E-3 filing service to coordinate LCA and consulate prep
E-3 applications involve the employer filing the LCA and you filing the DS-160 and attending a consulate interview. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, reducing coordination errors that can delay your start date.
Prepare for specialty occupation questions at your consulate interview
Consular officers may probe whether your AI Data Engineer role genuinely requires a bachelor's degree or higher. Bring documentation showing the technical depth of the role, such as your job description referencing specific ML frameworks, data pipeline tools, or cloud platforms, alongside your degree transcripts.
E-3 Visa AI Data Engineer: Frequently Asked Questions
How do I find AI Data Engineer jobs that offer E-3 visa sponsorship?
Most job listings don't specify visa sponsorship type, making it hard to know whether an employer will support an E-3 before you apply. Migrate Mate filters roles by E-3 sponsorship availability, so you can search AI Data Engineer positions where employers have already indicated willingness to sponsor, saving you from dead-end applications.
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 an AI Data Engineer role qualify as a specialty occupation for the E-3?
Yes, AI Data Engineer roles consistently qualify because they require theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, data engineering, or a closely related field. The DOL and USCIS assess specialty occupation on a case-by-case basis, so your job offer letter should specify the degree requirement and the technical complexity of the role.
How does the E-3 compare to the H-1B for AI Data Engineers?
For Australian nationals, the E-3 is significantly more practical than the H-1B visa. The H-1B has an annual cap of 85,000 slots and a randomized lottery, meaning many qualified engineers wait years or never get selected. The E-3 has a separate 10,500 annual allocation that has never been fully used, so there's no lottery and no waiting period once you have a qualifying job offer.
Can I switch employers after starting work on an E-3 as an AI Data Engineer?
Yes, but each new employer must file a fresh LCA with DOL and you'll need a new E-3 visa tied to that employer. You can begin work with the new employer once their LCA is certified and you've obtained updated E-3 documentation. There's no portability provision like the H-1B, so don't resign before the new employer's paperwork is in order.