Artificial Intelligence E-3 Sponsorship Jobs in Michigan
Artificial intelligence E-3 visa sponsorship jobs in Michigan are concentrated in Ann Arbor, Detroit, and Grand Rapids, where employers like Ford, General Motors, and University of Michigan run active AI research and engineering programs. Australian professionals in machine learning, computer vision, and data science will find specialty occupation roles across automotive tech, manufacturing AI, and university research labs.
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INTRODUCTION
Businesses of all shapes and sizes rely on Google’s unparalleled advertising solutions to help them grow in today's dynamic marketing environment. You bring a passion for sales, knowledge of online media, and commitment to maximize customer success. You act like an owner, move with velocity through change, finding innovative and strategic ways to consistently deliver extraordinary and incremental outcomes for both Google and your customers. You build trusted relationships with customers, uncovering their business needs and translating them into powerful solutions to achieve their most ambitious goals. You achieve as a team with sellers, shape the future of advertising in the AI-era, and make a real impact on the millions of companies and billions of users that trust Google with their most important goals.
Google Customer Solutions (GCS) sales teams are trusted advisors and competitive sellers who maintain a relentless focus on customer success by bringing the best Google has to offer to small- and medium-sized businesses (SMBs), which are the backbone of our communities. As a member of our team, you’ll have the opportunity to work with company owners and make a real difference in their businesses by helping them grow. Together, we help shape the future of innovation for customers, partners, and sellers...and we have fun doing it.
ROLE AND RESPONSIBILITIES
- Build and manage relationships with clients virtually or face to face by meeting with multiple clients on a daily basis and developing an understanding of their business challenges, marketing objectives and success metrics.
- Work with internal and external stakeholders to ensure workflows and projects are completed on time to a set standard.
- Plan for and achieve growth goals, including but not limited to quarterly business growth and productivity targets, through the presentation of Google advertising products/solutions that will help clients to meet their marketing objectives.
- Develop forward-thinking, data-driven analyses and consultative recommendations that align with customer goals and quantify impact opportunities with clear recommendations to present to customers.
- Build knowledge of how Google advertising products work and can be used to help meet a wide range of marketing objectives.
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in advertising, sales, marketing, consulting or media.
- Ability to travel 20% of the time as required.
PREFERRED QUALIFICATIONS
- Experience assessing and achieving client success via business techniques, including effective questioning, objection handling and competitive selling.
- Experience in launching and managing paid digital advertising campaigns, particularly in Google Ads and other digital marketing platforms.
- Experience working with channel sales, advertisers, agencies or clients.
- Ability to manage and prioritize a portfolio in an advertising or media sales context and achieve goals to drive growth.
- Ability to build compelling narratives and utilize storytelling as a client engagement strategy.
COMPENSATION
The US base salary range for this full-time position is $84,000-$120,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
E-3 Artificial Intelligence Job Roles in Michigan
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Search Artificial Intelligence Jobs in MichiganArtificial Intelligence E-3 Sponsorship Jobs in Michigan: Frequently Asked Questions
Which artificial intelligence companies sponsor E-3 visas in Michigan?
Michigan's largest E-3 AI sponsors include Ford Motor Company and General Motors, both of which maintain dedicated AI and autonomous vehicle research divisions. University of Michigan, Michigan State University, and Stellantis also file Labor Condition Applications for AI roles. Smaller employers in Ann Arbor's tech corridor, including automotive software startups, have an established pattern of E-3 sponsorship for machine learning and data science positions.
Which cities in Michigan have the most artificial intelligence E-3 sponsorship jobs?
Ann Arbor has the highest concentration of AI E-3 roles in Michigan, driven by University of Michigan's research programs and a dense cluster of automotive tech companies. Detroit follows, anchored by the AI divisions of Ford and General Motors headquarters. Grand Rapids is an emerging secondary market, particularly in manufacturing AI and healthcare analytics, with employers increasingly filing LCAs for specialty occupation AI roles.
What types of artificial intelligence roles typically qualify for E-3 sponsorship?
Roles that consistently qualify for E-3 sponsorship in Michigan's AI sector include machine learning engineer, computer vision scientist, natural language processing researcher, AI software engineer, and data scientist. Each must be classified as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, mathematics, or electrical engineering. Generalist titles without a clear degree requirement are less likely to qualify.
How do I find artificial intelligence E-3 sponsorship jobs in Michigan?
Migrate Mate filters AI job listings specifically by visa type, so you can search for E-3-eligible roles in Michigan without sorting through positions that offer no sponsorship. Migrate Mate surfaces employer LCA filing history, showing which Michigan companies have certified AI positions with the DOL. Focusing on employers with prior E-3 or H-1B visa LCA filings in machine learning, computer vision, or data science significantly narrows your search to verified sponsors.
Are there any Michigan-specific or industry-specific considerations for E-3 sponsorship in artificial intelligence?
Michigan's AI hiring is heavily tied to the automotive industry, so many E-3 roles involve autonomous vehicle systems, manufacturing optimization, or mobility software rather than pure software product development. Employers in this sector often require security clearance awareness for certain defense-adjacent projects, which can complicate sponsorship. University-based roles at Michigan or Michigan State may also involve federal grant funding with separate labor compliance requirements that affect LCA filing timelines.
What is the prevailing wage for E-3 artificial intelligence jobs in Michigan?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.