Talent Advisor Jobs in USA with Visa Sponsorship
Talent Advisor roles sit squarely within H-1B visa specialty occupation territory, requiring a bachelor's degree in human resources, organizational psychology, or a related field. Employers file a Labor Condition Application before sponsorship begins. No lottery exemptions apply, but H-1B1 visa and E-3 visa pathways offer cap-free alternatives for eligible nationals.
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Get Access To All JobsABOUT 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.
WHAT YOU'LL BE DOING & WHY IT MATTERS
Salesforce is building the AI-powered future of enterprise software — and we need a world-class recruiter to help us win the most contested talent market in the industry. This isn’t a high-volume, transactional recruiting role. This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas: Applied Science, Machine Learning, and/or Data Science and hiring at a company where the bar for talent is set at the top of the market for the next generation of innovators and builders.
You’ve recruited at scale for research scientists, applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied Scientist. You’ve navigated nuanced leveling conversations, complex compensation structures, and competing offers from the best companies in the world — and you’ve won.
Now, bring that expertise to Salesforce, where Agentforce and Einstein AI are redefining what enterprise AI looks like. Your pipeline and your craft will directly shape the teams building the most impactful AI products in the world.
Agentforce & Einstein AI — You’ll be recruiting for the teams building the AI products deployed by the world’s largest enterprises, at a scale and data advantage no startup can match.
Real Impact — This is not a support role. You will shape hiring strategy and directly influence how Salesforce’s AI org is built.
World-Class Colleagues — Work alongside a high-performing recruiting team with deep expertise across the AI/ML talent landscape.
Scope & Scale — Only a handful of companies in the world operate at Salesforce’s scale with this level of AI investment. The scope of what you’ll recruit for here is unmatched.
CORE RESPONSIBILITIES & SCOPE
- Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations.
- Partner deeply with senior engineering and research leaders to shape hiring strategy, define ideal candidate profiles, and influence how we compete for elite technical talent.
- Build and maintain high-quality, research-grade talent pipelines — proactively mapping the market and engaging passive talent before requisitions open.
- Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of market compensation benchmarks across FAANG and frontier AI companies.
- Serve as a trusted advisor to hiring managers — pushing back, advising on tradeoffs, and bringing market intelligence that sharpens decision-making.
- Collaborate with sourcing partners, recruiting coordinators, and peer advisors to run an efficient, high-touch candidate experience.
- Contribute to team-level recruiting strategy, pipeline health reviews, and market talent intelligence initiatives.
MINIMUM REQUIREMENTS
- 5+ years of full-cycle technical recruiting experience, with a significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles.
- Deep experience at a top-tier tech company — Meta, Google, or equivalent — where the talent bar is exceptionally high and the competition is fierce.
- Proven ability to recruit across the full Applied Science and ML talent spectrum: ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers.
- Strong fluency in ML and AI concepts — enough to hold credible conversations with candidates and hiring managers about LLMs, deep learning, NLP, computer vision, and model development pipelines.
- Track record of building proactive talent pipelines in highly contested, hard-to-fill research and applied ML talent pools.
- Experience navigating complex compensation conversations, including base, equity (RSU), sign-on, and competing offer dynamics in the FAANG+ talent market.
- Consultative, data-informed approach to recruiting — you bring market data, benchmarking intelligence, and candidate insights to every hiring manager interaction.
- Strong communicator and relationship builder who earns trust quickly with both candidates and senior technical leaders.
PREFERRED QUALIFICATIONS
- Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (e.g., FAIR, Google Brain/DeepMind, OpenAI).
- Familiarity with AI/ML academic pipelines and graduate recruiting from top research universities (MIT, Stanford, CMU, Berkeley, UW, etc.).
- Background working within large, matrixed organizations where recruiting requires influencing without authority.
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 $117,400 - $177,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $140,900 - $193,700 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.
WHAT YOU'LL BE DOING & WHY IT MATTERS
Salesforce is building the AI-powered future of enterprise software — and we need a world-class recruiter to help us win the most contested talent market in the industry. This isn’t a high-volume, transactional recruiting role. This is a strategic seat at the table for a recruiter who has spent their career deeply embedded in recruiting for one or more of the following areas: Applied Science, Machine Learning, and/or Data Science and hiring at a company where the bar for talent is set at the top of the market for the next generation of innovators and builders.
You’ve recruited at scale for research scientists, applied scientists, ML engineers, and data scientists. You understand the difference between a Machine Learning Engineer and an Applied Scientist. You’ve navigated nuanced leveling conversations, complex compensation structures, and competing offers from the best companies in the world — and you’ve won.
Now, bring that expertise to Salesforce, where Agentforce and Einstein AI are redefining what enterprise AI looks like. Your pipeline and your craft will directly shape the teams building the most impactful AI products in the world.
Agentforce & Einstein AI — You’ll be recruiting for the teams building the AI products deployed by the world’s largest enterprises, at a scale and data advantage no startup can match.
Real Impact — This is not a support role. You will shape hiring strategy and directly influence how Salesforce’s AI org is built.
World-Class Colleagues — Work alongside a high-performing recruiting team with deep expertise across the AI/ML talent landscape.
Scope & Scale — Only a handful of companies in the world operate at Salesforce’s scale with this level of AI investment. The scope of what you’ll recruit for here is unmatched.
CORE RESPONSIBILITIES & SCOPE
- Own full-cycle recruiting for Applied Scientist, Machine Learning Engineer, and/or Data Scientist roles across Salesforce’s AI and research organizations.
- Partner deeply with senior engineering and research leaders to shape hiring strategy, define ideal candidate profiles, and influence how we compete for elite technical talent.
- Build and maintain high-quality, research-grade talent pipelines — proactively mapping the market and engaging passive talent before requisitions open.
- Lead complex offer negotiations, including sign-on and equity exception packages, with a clear understanding of market compensation benchmarks across FAANG and frontier AI companies.
- Serve as a trusted advisor to hiring managers — pushing back, advising on tradeoffs, and bringing market intelligence that sharpens decision-making.
- Collaborate with sourcing partners, recruiting coordinators, and peer advisors to run an efficient, high-touch candidate experience.
- Contribute to team-level recruiting strategy, pipeline health reviews, and market talent intelligence initiatives.
MINIMUM REQUIREMENTS
- 5+ years of full-cycle technical recruiting experience, with a significant and demonstrated focus on Applied Science, Machine Learning, and/or Data Science roles.
- Deep experience at a top-tier tech company — Meta, Google, or equivalent — where the talent bar is exceptionally high and the competition is fierce.
- Proven ability to recruit across the full Applied Science and ML talent spectrum: ML Engineers, Data Scientists, Research Scientists, Applied Scientists, and MLOps Engineers.
- Strong fluency in ML and AI concepts — enough to hold credible conversations with candidates and hiring managers about LLMs, deep learning, NLP, computer vision, and model development pipelines.
- Track record of building proactive talent pipelines in highly contested, hard-to-fill research and applied ML talent pools.
- Experience navigating complex compensation conversations, including base, equity (RSU), sign-on, and competing offer dynamics in the FAANG+ talent market.
- Consultative, data-informed approach to recruiting — you bring market data, benchmarking intelligence, and candidate insights to every hiring manager interaction.
- Strong communicator and relationship builder who earns trust quickly with both candidates and senior technical leaders.
PREFERRED QUALIFICATIONS
- Experience recruiting for frontier AI organizations, AI research labs, or applied AI product teams (e.g., FAIR, Google Brain/DeepMind, OpenAI).
- Familiarity with AI/ML academic pipelines and graduate recruiting from top research universities (MIT, Stanford, CMU, Berkeley, UW, etc.).
- Background working within large, matrixed organizations where recruiting requires influencing without authority.
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 $117,400 - $177,600 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $140,900 - $193,700 annually.
The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.
See all Talent Advisor Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Talent Advisor roles.
Get Access To All JobsTips for Finding Talent Advisor Jobs
Frame your degree for specialty occupation
Talent Advisor roles require a directly related degree to satisfy the specialty occupation standard. A general business degree may not hold up under USCIS scrutiny. HR, organizational psychology, or industrial-organizational psychology degrees strengthen your petition considerably.
Verify your prevailing wage tier early
Use the OFLC Wage Search to look up the prevailing wage for your target metro before you receive an offer. Knowing your wage level helps you evaluate whether an employer's compensation is LCA-compliant before you invest time in their process.
Target employers with HR function maturity
Companies with dedicated talent acquisition teams are far more likely to have prior LCA filing experience than small businesses where HR is handled by a generalist. Use Migrate Mate to find employers with verified sponsorship history in HR and recruiting roles.
Anticipate the LCA public access file requirement
Once your employer files your LCA, they must maintain a public access file for DOL compliance. Knowing this process signals to hiring managers that you understand your own sponsorship. It also helps you spot employers who have done this before and have the infrastructure ready.
Distinguish Talent Advisor from recruiter in your application
Staffing agency recruiters often don't meet specialty occupation requirements, but an in-house Talent Advisor role with strategic responsibilities typically does. Your resume and job description need to reflect advisory, workforce planning, or talent strategy work, not transactional placement activity.
Ask about the offer-to-filing timeline upfront
Some employers issue offers months before they're ready to file I-129 petitions. For H-1B transfers or status changes, delays can affect your authorization. Confirm the employer's intended filing date during the offer stage so there are no gaps in your work authorization.
Frequently Asked Questions
Does a Talent Advisor role qualify as a specialty occupation for H-1B purposes?
Yes, in most cases, provided the job genuinely requires a bachelor's degree in a specific field such as human resources, organizational psychology, or industrial-organizational psychology. Generalist titles where any degree is acceptable tend to fail the specialty occupation test. The job description must reflect strategic advisory responsibilities, not purely transactional recruiting tasks, to hold up under USCIS review.
Which visas can sponsor a Talent Advisor role?
The H-1B is the most common path for Talent Advisors. Australian nationals can use the E-3, which has a separate cap of 10,500 annually and has never been exhausted. Chilean and Singaporean nationals may qualify for the H-1B1 visa. TN visa classification does not cover HR advisory roles and should not be pursued for this title. All options require a qualifying degree in a directly related field.
How do I find employers who actively sponsor Talent Advisor roles?
Migrate Mate lists employers with verified LCA sponsorship history, so you can focus your search on companies that have already filed for HR and talent roles rather than approaching cold leads who may not understand the process.
What degree do I need to get sponsored as a Talent Advisor?
A bachelor's degree in human resources, organizational psychology, industrial-organizational psychology, or a closely related field is the standard requirement. Degrees in general business or communications are less reliable because they don't establish a direct connection to the specialty occupation. If your degree is in an adjacent field, documented experience in HR strategy and workforce planning can support the case, but a directly related degree is the cleaner path.
Can my employer use PERM labor certification for a Talent Advisor green card?
Yes. Most employment-based green cards for Talent Advisors route through EB-2 or EB-3, both of which typically require PERM labor certification from DOL. PERM requires the employer to test the labor market by advertising the role and demonstrating that no qualified U.S. workers are available. The process is distinct from the H-1B filing and is managed separately, usually after you've been with the employer for some time.
What is the prevailing wage requirement for sponsored Talent Advisor jobs?
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.