Executive Management Jobs at Anthropic with Visa Sponsorship
Executive Management jobs at Anthropic involve leading strategy, operations, and policy at one of the most closely watched AI safety companies in the world. The company has a clear track record of sponsoring work visas for this function, including H-1B visa, H-1B1 visa, and E-3 visa classifications, making it a realistic target for internationally qualified leaders.
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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 Role
Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.
Responsibilities
- Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
- Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
- Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
- Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
- Sit in on crowd worker and vendor sessions to systematically understand pain points
- Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores
You May Be a Good Fit If You
- Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
- Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
- Shipped products where they had to deeply understand technical constraints, not just translate requirements
- Experience working directly with research teams, ideally in AI/ML contexts
- Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
- Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
- Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
Strong Candidates May Also Have
- Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
- Experience working with researchers who are internal users/customers
- Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
- Strong project management skills: prioritization, communicating across team/org boundaries
The Ideal Candidate Has The Following Virtues/values
- Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
- Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
- Researcher EQ: Deep understanding of how researchers think and what motivates them
- Product creativity: Ability to see novel product opportunities emerging from research capabilities
- Founder mentality: Track record of doing whatever it takes to ship highly technical products
Annual Salary
$305,000—$385,000 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
Anthropic's Human Data Platform team builds systems designed to collect data that improves our models. This includes the infrastructure to simulate real-world environments and tasks, novel interfaces for data vendors to use, and the pipelines that enable researchers to gather high-quality data at scale. As Claude's real-world usage evolves, so do our data needs — and our tooling has to keep pace. You'll work alongside an engineering team that's quickly prototyping and shipping, help make smart bets about where to focus, and ensure we're investing in tooling that scales. You'll work across research teams, data ops, and external vendors, translating what you learn into clear direction on what to build next.
Responsibilities
- Own the product direction for our human data tooling, with clear prioritization across labeling interfaces, infrastructure investments, data quality, and operational visibility
- Partner with engineering to scope and ship quickly, staying close to the work in a fast-moving prototyping environment
- Develop a deep understanding of research and training approaches to identify where tooling investments will have the highest leverage
- Identify patterns across one-off requests and push toward reusable infrastructure that compounds over time
- Sit in on crowd worker and vendor sessions to systematically understand pain points
- Define and track outcome-based KPIs: time-to-launch for new data collection projects, end-to-end data quality scores, and measurable impact on model evaluation scores
You May Be a Good Fit If You
- Believe that advanced AI systems could have a transformative effect on the world and are interested in helping make sure that transformation goes well
- Are drawn to ambiguous, high-stakes environments where you’ll play a big role in defining the product strategy
- Shipped products where they had to deeply understand technical constraints, not just translate requirements
- Experience working directly with research teams, ideally in AI/ML contexts
- Are equally comfortable talking to crowdworkers about their workflow and to research teams about data quality methodology
- Are a quick study—this team sits at the intersection of a large number of different complex technical systems that you'll need to understand (at a high level) to be effective
- Have an interest in how humans interact with AI systems and how to design experiences that elicit high-quality data
Strong Candidates May Also Have
- Experience building data collection tools, annotation platforms, or human-in-the-loop pipelines
- Experience working with researchers who are internal users/customers
- Good instincts and an eye for intuitive user experiences, particularly those involving complex UI interactions or annotation workflows
- Strong project management skills: prioritization, communicating across team/org boundaries
The Ideal Candidate Has The Following Virtues/values
- Intellectual curiosity without ego: Comfortable not knowing things and asking questions to learn
- Autonomous learning: Able to independently figure out how systems work and develop expertise quickly
- Researcher EQ: Deep understanding of how researchers think and what motivates them
- Product creativity: Ability to see novel product opportunities emerging from research capabilities
- Founder mentality: Track record of doing whatever it takes to ship highly technical products
Annual Salary
$305,000—$385,000 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 Executive Management Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Executive Management Jobs at Anthropic.
Get Access To All JobsTips for Finding Executive Management Jobs at Anthropic
Frame Your Leadership Around AI Safety
Anthropic's executive hiring centers on mission alignment with responsible AI development. Before applying, reframe your resume and cover letter to connect your management experience directly to policy, safety infrastructure, or scaling research organizations, not just general business outcomes.
Verify Your Role Qualifies as Specialty Occupation
USCIS requires H-1B roles to meet the specialty occupation standard. Executive Management positions can face scrutiny if duties read as general management. Work with your attorney to document that the role demands a specific degree field, not just any bachelor's degree.
Target Roles Where Anthropic Files LCAs Early
Search the DOL's LCA disclosure data for Anthropic's active filings before applying. This tells you which Executive Management job titles they're actively sponsoring, which strengthens your targeting and helps you match your application to roles already moving through the pipeline.
Use Migrate Mate to Identify Anthropic Openings
Anthropic posts Executive Management roles across multiple channels, and not all listings are flagged as visa-sponsoring. Browse Migrate Mate to filter specifically for Anthropic roles open to sponsored candidates, so you're applying where sponsorship is already confirmed.
Get Your E-3 or H-1B1 Documents in Order Early
If you're an Australian or Chilean or Singaporean national, Anthropic's sponsorship history covers E-3 and H-1B1 visa classifications. These require a certified Labor Condition Application before your consular appointment, so coordinate with your employer contact to start that DOL filing well in advance.
Negotiate Sponsorship Commitment Before Signing
Anthropic's offer letters for Executive Management roles don't always specify which visa category they'll file under. Before you sign, confirm in writing whether they'll pursue H-1B, E-3, or another classification, and whether premium processing is included to meet your start date.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for Executive Managements?
Yes, Anthropic sponsors H-1B visas for Executive Management roles. The company has an active and consistent sponsorship track record for this function, including filings across multiple H-1B classifications. If you're targeting an executive-level role at Anthropic, H-1B sponsorship is a realistic path, though the annual lottery and specialty occupation requirements still apply.
How do I apply for Executive Management jobs at Anthropic?
Applications go through Anthropic's careers page, where Executive Management roles are listed by team and function. You can also find Anthropic's visa-sponsoring openings on Migrate Mate, which filters specifically for roles open to internationally sponsored candidates. Tailor your application to Anthropic's AI safety mission, and be explicit about your visa status and sponsorship needs early in the process.
Which visa types does Anthropic typically use for Executive Management roles?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for Executive Management positions. H-1B is the most broadly available classification for international candidates. H-1B1 is specific to Chilean and Singaporean nationals, while E-3 is available only to Australian citizens. All three require a certified Labor Condition Application filed with the DOL before the visa process can proceed.
What qualifications does Anthropic expect for Executive Management roles?
Anthropic's executive roles typically require deep domain expertise in a relevant field such as AI research, policy, legal, or technical operations, combined with demonstrated leadership at scale. For visa sponsorship purposes, your degree field should align directly with the role's core function. General management backgrounds without a connection to AI, safety, or research infrastructure are less likely to clear the specialty occupation standard USCIS applies.
How do I handle visa timing if I get an Executive Management offer from Anthropic?
Timeline depends on your current status and visa classification. E-3 and H-1B1 visa applications through consular processing typically resolve within a few weeks once the LCA is certified by the DOL, which can take up to seven business days. H-1B cap cases are subject to the annual April lottery with an October 1 start date, so if you're cap-subject, plan for a potential gap of several months between offer and start date.