H-1B Visa Talent Advisor Jobs
Talent Advisor jobs with H-1B visa sponsorship sit at the intersection of human resources and strategic workforce planning, typically requiring a bachelor's degree in HR, business, or a related field. Employers filing an LCA and I-129 petition on your behalf can sponsor initial three-year H-1B status, extendable to six years.
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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 H-1B Visa Talent Advisor Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Talent Advisor Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship in Talent Advisor
Frame your degree for specialty occupation
USCIS evaluates whether your role requires a specific bachelor's degree, not just any degree. Document how your HR, organizational psychology, or business degree directly underpins your Talent Advisor duties to strengthen the specialty occupation argument in your petition.
Search verified H-1B sponsors on Migrate Mate
Target employers with a documented history of filing LCAs for HR and talent roles. Migrate Mate surfaces employers with verified H-1B sponsorship history by role type, so you can prioritize outreach to organizations already familiar with the filing process.
Verify prevailing wage before negotiating offers
Your employer must pay at least the DOL prevailing wage for your SOC code and work location. Use the OFLC Wage Search to look up the Level I through Level IV wage tiers for your specific metro area before you finalize any compensation discussion.
Confirm each worksite gets its own LCA
If your Talent Advisor role involves supporting hiring at multiple office locations, each distinct worksite requires a separately certified LCA. Raise this early with your prospective employer's HR or legal team to avoid filing delays after your start date is set.
Time your application around cap selection changes
H-1B cap selection rules have changed recently, so don't rely on older timelines when planning your job search. USCIS publishes current registration guidance each cycle, and your employer's immigration counsel should walk you through the updated process before you accept an offer.
Use O*NET to anchor your job description
The O*NET occupation profile for Talent Advisors and related HR specialist roles lists the degree-level competencies and analytical tasks that support a specialty occupation designation. Share the relevant task descriptions with your employer when they draft your I-129 support letter.
H-1B Visa Talent Advisor: Frequently Asked Questions
Does a Talent Advisor role qualify as a specialty occupation for H-1B purposes?
A Talent Advisor position can qualify as a specialty occupation when the employer structures it around duties that genuinely require a bachelor's degree in HR, industrial-organizational psychology, or business. USCIS evaluates the specific job description, not just the title, so the I-129 petition must clearly tie each core responsibility to degree-level knowledge. Roles with primarily administrative or clerical duties do not automatically qualify.
How do I find employers who sponsor H-1B visas for Talent Advisor positions?
Migrate Mate lists employers with verified H-1B LCA filing history, including those who have sponsored HR and talent acquisition roles. Focusing your search on organizations with an established immigration process saves time because their HR teams already understand the LCA certification and I-129 petition steps required to bring you on board.
What documents should I prepare before asking an employer to sponsor my H-1B?
Compile your official degree transcripts and diploma, a credential evaluation if your degree is from outside the U.S., and a detailed resume that maps each job duty to your degree field. Employers and their immigration counsel use these to build the specialty occupation argument in the LCA and I-129. Having them ready shortens the time between offer acceptance and filing.
How long does H-1B status last for a Talent Advisor role?
USCIS grants initial H-1B status for up to three years. Your employer can file an extension petition to reach the six-year statutory maximum. After six years, continued H-1B status typically requires an approved immigrant visa petition or a pending green card application that meets specific age-of-filing thresholds under applicable immigration law.
What happens to my H-1B status if I change employers or move to a different office location?
Changing employers requires your new sponsor to file a fresh H-1B transfer petition with USCIS before or concurrent with your start date. Moving to a worksite not covered by your current certified LCA requires a new LCA for that location, even if the employer and role remain the same. Both situations need advance coordination with your employer's immigration team to avoid gaps in authorized status.