Product Engineer Jobs at Anthropic with Visa Sponsorship
Product Engineer jobs at Anthropic involve building the systems and interfaces that make AI research usable at scale. The company sponsors H-1B visa, H-1B1 visa, and E-3 visas for this function, and its sponsorship activity reflects consistent hiring across product and engineering roles.
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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 Team
As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with XFN stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities.
IMPORTANT CONTEXT ON THIS ROLE:
In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
Responsibilities
- Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality
- Conduct and drive comprehensive product safety reviews, covering technical and non-technical harms, to inform product launch and safety mitigation strategies
- Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise
- Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities and translate this analysis into mitigations delivery
- Leverage SME risk assessments to inform overall product safety recommendations
- Design and run bespoke evaluations for products that require tailored assessment and contribute to our product safety evaluations strategy
- Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment
- Stay current on industry trends and emerging risks in AI development to proactively address potential issues
- Contribute to regular reports on product policy risks and mitigations for senior leadership
Minimum Requirements
- Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders
- Understand safety policies and safety considerations associated with a wide range of product surfaces
- Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process
- Have conducted risk evaluations of novel products in fast moving organizations
- Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development
- Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance
- Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks
- Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$245,000—$285,000 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 Team
As the Product Policy Manager for Product Risk, you will play a crucial role in setting and executing the Safeguards team’s approach to assessing product launches for safety risks and working with XFN stakeholders to drive appropriate safety mitigations. You'll work closely with a suite of cross-functional teams, within and outside of Safeguards, including product, legal, public policy, and engineering teams to understand upcoming features, anticipate potential misuses or unintended consequences, and craft policies that balance innovation with responsibility. Your work will be essential in maintaining Anthropic's commitment to safe and beneficial AI as we continue to expand our product capabilities.
IMPORTANT CONTEXT ON THIS ROLE:
In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.
Responsibilities
- Develop and maintain risk assessment frameworks to identify and evaluate potential safety risks associated with new product features and functionality
- Conduct and drive comprehensive product safety reviews, covering technical and non-technical harms, to inform product launch and safety mitigation strategies
- Collaborate closely with a variety of stakeholders including product and engineering teams and the broader Safeguards team to leverage deep policy, enforcement, and engineering expertise
- Analyze the potential for misuse, unintended consequences, and harmful outputs of new model and product capabilities and translate this analysis into mitigations delivery
- Leverage SME risk assessments to inform overall product safety recommendations
- Design and run bespoke evaluations for products that require tailored assessment and contribute to our product safety evaluations strategy
- Craft policy recommendations that strike a balance between enabling innovation and ensuring responsible AI deployment
- Stay current on industry trends and emerging risks in AI development to proactively address potential issues
- Contribute to regular reports on product policy risks and mitigations for senior leadership
Minimum Requirements
- Have a strong technical background while also feeling equally comfortable explaining highly technical concepts to non-technical stakeholders
- Understand safety policies and safety considerations associated with a wide range of product surfaces
- Are adept at prioritizing where, and how, to focus resources for safety mitigations in a high volume launch process
- Have conducted risk evaluations of novel products in fast moving organizations
- Demonstrated expertise collaborating with product and engineering teams to integrate safety considerations into product development
- Have a thorough understanding of AI ethics, responsible AI principles, and current debates surrounding AI safety and governance
- Have the ability to think creatively about potential misuses of technology and develop innovative solutions to mitigate risks
- Have shown strong program management skills with the ability to drive policy development processes from ideation to implementation
The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary
$245,000—$285,000 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 Product Engineer Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Product Engineer Jobs at Anthropic.
Get Access To All JobsTips for Finding Product Engineer Jobs at Anthropic
Frame your portfolio around AI product systems
Anthropic evaluates Product Engineers on their ability to bridge research and production infrastructure. Highlight projects where you shipped tooling, APIs, or interfaces that made complex systems more usable, not just consumer-facing features.
Target roles with explicit sponsorship language
Use Migrate Mate to filter Product Engineer openings at Anthropic by visa type. Applying to roles that already list H-1B or E-3 sponsorship removes ambiguity early and saves time in the offer stage.
Align your background to Anthropic's research stack
Anthropic sits at the intersection of AI research and applied engineering. Product Engineers who can speak to LLM deployment, evaluation pipelines, or human feedback systems stand out from generalist product candidates in screening calls.
Understand which visa fits your citizenship before interviewing
Australian citizens qualify for the E-3 visa, which has no lottery and can be filed year-round. Knowing this before the offer conversation helps you give the hiring team a clear path to sponsorship without delays.
Get your credentials evaluated early if your degree is foreign
USCIS requires that your educational background supports a specialty occupation finding. For non-U.S. degrees, a credential evaluation from a NACES-approved evaluator confirms equivalency before your employer files the I-129 petition.
Negotiate the visa filing timeline into your start date
H-1B cap-subject petitions have an October 1 start date after the April lottery. If you're in the lottery cycle, factor in the gap between offer acceptance and your authorized start date when setting expectations with Anthropic's recruiting team.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for Product Engineers?
Yes, Anthropic sponsors H-1B visas for Product Engineers. The company has an established pattern of filing petitions for engineering and product roles, which reflects its need to hire from a global talent pool. If you're subject to the H-1B cap, your petition enters the annual lottery and, if selected, would have an October 1 start date. Anthropic also sponsors H-1B1 visa and E-3 visas, which bypass the lottery entirely.
How do I apply for Product Engineer jobs at Anthropic?
Applications go through Anthropic's careers portal, where Product Engineer roles are listed with their requirements and location details. Before applying, confirm whether the posting references visa sponsorship. You can browse verified Product Engineer openings at Anthropic that include sponsorship information on Migrate Mate, which filters roles by visa type so you're not guessing about eligibility before you invest time in the process.
Which visa types does Anthropic typically use for Product Engineers?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for Product Engineers. The H-1B is the most common path for nationals outside Australia or Singapore. The E-3 is available exclusively to Australian citizens and has a dedicated annual allocation that rarely fills. H-1B1 applies to Singaporean and Chilean nationals. All three require that the role qualifies as a specialty occupation, which Product Engineer roles at a research-focused AI company typically satisfy.
What qualifications does Anthropic expect for Product Engineer roles?
Anthropic's Product Engineer roles generally require a bachelor's degree or higher in computer science, software engineering, or a closely related field. Beyond the credential baseline, strong candidates demonstrate experience with large-scale systems, technical product development, and comfort working near research output. Roles vary in seniority, and some specifically require familiarity with ML infrastructure or model deployment, which is more specialized than typical product engineering positions elsewhere.
How do I time my H-1B sponsorship process when targeting Anthropic?
USCIS opens H-1B registration in early March each year, with a lottery draw shortly after. If you receive an offer from Anthropic and are cap-subject, your employer must register you in that window. If selected, the I-129 petition can be filed April through June for an October 1 start. Plan your offer timeline accordingly, and confirm whether Anthropic will use premium processing, which reduces USCIS adjudication to a faster, predictable window.