Research Product Manager Jobs in USA with Visa Sponsorship
Research Product Managers sit at the intersection of user insights and product strategy, making them strong candidates for H-1B visa and O-1 visa sponsorship. The role qualifies as a specialty occupation requiring a bachelor's degree or higher in a related field, and employers in tech, healthcare, and financial services sponsor regularly. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsAbout Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
As a Product Manager for Model Behaviors, you will partner with the Alignment Finetuning team to define and shape Claude's character, behaviors, and reinforcement signals—work that directly influences how millions of people experience AI. You will systematically identify high-priority behavioral improvements, coordinate across Research, Product, and Safeguards teams, and accelerate our ability to ship well-aligned models. The ideal candidate combines deep user empathy with the judgment to navigate nuanced behavior questions where there are no clear right answers.
Responsibilities
- Define behavioral defaults and steerability constraints
- Develop and maintain taxonomies of model behaviors across capabilities
- Identify, triage, and prioritize behavior issues and opportunities, coordinating input from Users, Research, Product, and Safeguards teams
- Amplify alignment research breakthroughs, translating them into product, process, and model improvements
- Deeply understand user interaction patterns to identify behavior improvements that make Claude more helpful and safe
- Contribute to evals that measure alignment progress
- Identify and scale initiatives and tools that help researchers ship alignment improvements faster
Minimum Qualifications
- Have a deep passion and curiosity for AI and LLMs. Use AI regularly.
- Have 5+ years in product management leading scaled conversational AI products.
- Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions
- Have a track record of delivering products and features to end-users (consumer or end-user b2b focus)
- Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities
- Have strong judgment and model taste, with the ability to make tradeoffs when there is no clear right answer
- Have a strong grasp of ML concepts and are willing to go deep on technical solutions
- Have intellectual curiosity without ego—comfortable asking questions and learning independently
- Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks
- Have a creative, hacker spirit and love solving puzzles
Annual Salary
$385,000—$460,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About The Role
As a Product Manager for Model Behaviors, you will partner with the Alignment Finetuning team to define and shape Claude's character, behaviors, and reinforcement signals—work that directly influences how millions of people experience AI. You will systematically identify high-priority behavioral improvements, coordinate across Research, Product, and Safeguards teams, and accelerate our ability to ship well-aligned models. The ideal candidate combines deep user empathy with the judgment to navigate nuanced behavior questions where there are no clear right answers.
Responsibilities
- Define behavioral defaults and steerability constraints
- Develop and maintain taxonomies of model behaviors across capabilities
- Identify, triage, and prioritize behavior issues and opportunities, coordinating input from Users, Research, Product, and Safeguards teams
- Amplify alignment research breakthroughs, translating them into product, process, and model improvements
- Deeply understand user interaction patterns to identify behavior improvements that make Claude more helpful and safe
- Contribute to evals that measure alignment progress
- Identify and scale initiatives and tools that help researchers ship alignment improvements faster
Minimum Qualifications
- Have a deep passion and curiosity for AI and LLMs. Use AI regularly.
- Have 5+ years in product management leading scaled conversational AI products.
- Are a first-principles thinker with the ability to navigate and execute amidst ambiguity, flexing into different domains based on the business problem at hand and finding simple, easy-to-understand solutions
- Have a track record of delivering products and features to end-users (consumer or end-user b2b focus)
- Have strong user empathy and the ability to synthesize vague or contradictory feedback into actionable priorities
- Have strong judgment and model taste, with the ability to make tradeoffs when there is no clear right answer
- Have a strong grasp of ML concepts and are willing to go deep on technical solutions
- Have intellectual curiosity without ego—comfortable asking questions and learning independently
- Think creatively about the risks and benefits of new technologies, moving beyond past checklists and playbooks
- Have a creative, hacker spirit and love solving puzzles
Annual Salary
$385,000—$460,000 USD
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How We're Different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.
See all 103+ Research Product Manager Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Research Product Manager roles.
Get Access To All JobsTips for Finding Visa Sponsorship as a Research Product Manager
Target companies with active research functions
Large tech firms, healthcare platforms, and fintech companies maintain dedicated user research and product teams that sponsor visas regularly. Prioritize organizations with in-house research infrastructure, as standalone product roles without a research function are harder to sponsor convincingly.
Document the degree-to-role connection clearly
USCIS scrutinizes Research PM roles because the job title spans multiple disciplines. A degree in cognitive science, human-computer interaction, information systems, or business with a research concentration strengthens the specialty occupation argument and reduces the chance of a request for evidence.
Differentiate yourself with mixed-methods research skills
Employers who sponsor visas want candidates who can run both qualitative and quantitative research independently. Fluency in user interviews, survey design, and behavioral data analysis makes you harder to replace and gives the company a stronger business necessity argument for sponsorship.
Expect O-1A to be a viable path if you have publications or speaking credits
Research PMs with published papers, conference presentations, or industry awards may qualify for the O-1A extraordinary ability visa. This bypasses the H-1B lottery entirely and is worth exploring with an immigration attorney before assuming the H-1B is your only option.
Understand the LCA and prevailing wage before negotiating
Your employer files a Labor Condition Application with the Department of Labor before sponsoring your visa. The LCA locks in a prevailing wage commitment, so understanding what wage level applies to your role and location helps you negotiate compensation that aligns with what the employer has already agreed to pay.
Browse sponsoring employers on Migrate Mate before applying broadly
Not every company willing to list a Research PM role is willing to sponsor a visa. Migrate Mate filters job listings to employers who actively sponsor, saving you the time of applying to companies that will decline at the offer stage when immigration comes up.
Frequently Asked Questions
Does a Research Product Manager role qualify for H-1B sponsorship?
Yes, Research Product Manager qualifies as a specialty occupation under H-1B visa requirements when the position requires a bachelor's degree or higher in a specific field such as cognitive science, human-computer interaction, information systems, or a related discipline. USCIS may issue a request for evidence if the job description is vague or lists a generic degree requirement, so the employer's petition should clearly explain why a specific degree field is necessary for the role.
What degree do I need to get sponsored as a Research Product Manager?
Most employers require a bachelor's degree in a field directly tied to research or product functions, such as human-computer interaction, cognitive science, psychology, computer science, or business with a research focus. A degree in an unrelated field can still qualify if you pair it with substantial work experience in research or product management, or if a credential evaluation establishes equivalency. Australian three-year bachelor's degrees are generally accepted as equivalent to a U.S. four-year degree for visa purposes.
How competitive is the H-1B lottery for Research Product Managers?
Research PM roles at cap-subject employers enter the general H-1B lottery alongside all other specialty occupations. In recent years, selection rates have hovered around 25%, meaning there is no guarantee of selection in any given year. Candidates with a U.S. master's degree or higher qualify for the advanced degree pool, which historically offers a modest selection advantage. If the lottery is a concern, explore cap-exempt employers such as universities or nonprofit research institutions, or investigate whether your experience supports an O-1A petition.
Which types of employers are most likely to sponsor a Research Product Manager?
Tech companies with dedicated UX research teams, healthcare platforms building patient-facing products, and financial services firms with consumer insights functions sponsor Research PMs most frequently. Companies that treat research as a core function rather than an outsourced service are more likely to pursue sponsorship because the role is harder to fill externally on short notice. Browse Migrate Mate to find employers who have already demonstrated willingness to sponsor this role.
Can I switch employers mid-visa as a Research Product Manager?
Yes, if you're on an H-1B you can change employers through H-1B portability, which allows you to start working for a new employer as soon as they file a new H-1B petition on your behalf, provided your current status is valid. The new employer must file a new Labor Condition Application and I-129 petition before or when you start. You do not need to reenter the lottery. The new role must still qualify as a specialty occupation, so ensure your new job description matches your degree field.
What is the prevailing wage requirement for sponsored Research Product Manager 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.