Green Card Talent Advisor Jobs
Talent Advisor green card sponsorship follows the EB-2 or EB-3 path: your employer files a PERM labor certification with the Department of Labor, then an I-140 petition with USCIS, before you adjust status or pursue consular processing. Priority date backlogs vary by country of birth, so starting the process early matters.
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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 Green Card Talent Advisor Jobs
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Get Access To All JobsTips for Finding Green Card Sponsorship in Talent Advisor
Document progressive HR experience strategically
EB-3 skilled worker requires at least two years of qualifying experience; EB-2 requires a bachelor's degree plus five years of progressive work. Gather performance reviews, promotion letters, and org-chart evidence now so your employer's attorney can build the strongest possible PERM record.
Look up your prevailing wage before negotiating
Your employer's PERM filing must certify they'll pay the DOL prevailing wage for Talent Advisor roles in the work location. Run the OFLC Wage Search for your metro area and experience level before accepting an offer, so the number doesn't surprise either party at filing time.
Find sponsors through Migrate Mate
Target employers with a documented history of employment-based green card filings in HR and talent roles. Migrate Mate lists U.S. employers with verified green card sponsorship history, searchable by role and city, so you're not cold-applying to companies that have never navigated PERM before.
Verify the recruitment test covers your role
PERM requires the employer to run a genuine recruitment test for your specific position before DOL will certify the application. Confirm that your job title and duties in the internal posting match what will appear on the ETA-9089 exactly, or the audit risk increases substantially.
Check your O*NET occupation code early
Talent Advisor duties can map to multiple Standard Occupational Classification codes depending on your specialization. The O*NET profile your employer selects affects the prevailing wage tier and the PERM job description, so align on the right SOC code before the labor certification is drafted.
File I-485 as soon as your priority date is current
Once USCIS approves your I-140 and your priority date becomes current on the Visa Bulletin, you can adjust status without leaving the U.S. Filing promptly also starts the 180-day AC21 portability clock, protecting you if you need to change employers while your adjustment application is pending.
Green Card Talent Advisor: Frequently Asked Questions
Which green card category fits a Talent Advisor role?
Most Talent Advisor positions qualify under EB-3 professional if you hold a bachelor's degree, or under EB-2 if the role requires an advanced degree or a bachelor's degree plus five years of progressive HR or recruiting experience. The employer's attorney evaluates the minimum job requirements and your credentials to determine the correct category before drafting the PERM application.
How does green card sponsorship differ from H-1B for talent acquisition roles?
H-1B visa grants temporary work authorization for up to six years and requires an annual lottery. Green card sponsorship through EB-2 or EB-3 leads to lawful permanent residence, with no lottery but a multi-step process: PERM labor certification with the Department of Labor, an I-140 immigrant petition with USCIS, and then adjustment of status or consular processing. Priority date backlogs mean nationals of high-demand countries may wait years between I-140 approval and final residence.
How do I find employers who sponsor green cards for Talent Advisor positions?
Search Migrate Mate to identify U.S. employers with verified employment-based green card sponsorship history in HR and talent roles. Focusing on companies that have already navigated PERM for similar positions significantly reduces the risk that your employer abandons the process midway due to unfamiliarity with the requirements or cost.
Can I change jobs after my employer files my PERM or I-140?
If you change employers before USCIS approves your I-140, you generally need to restart the PERM process with the new employer, though an approved I-140's priority date can carry over. If your I-485 adjustment of status application has been pending for at least 180 days and the new Talent Advisor role is in the same or a similar occupation, AC21 portability lets you change employers without losing your place in line.
What does the PERM recruitment test require for a Talent Advisor role?
Before DOL will certify a PERM application, the employer must conduct a good-faith recruitment test demonstrating no qualified U.S. workers are available for the specific position. For professional roles, this includes mandatory job postings, two Sunday newspaper ads or their online equivalent, and additional recruitment steps. The job description used in recruitment must match the ETA-9089 form exactly, and all documentation must be retained for at least five years.