AI Product Engineer Jobs at Anthropic with Visa Sponsorship
AI Product Engineer jobs at Anthropic sit at the intersection of frontier model research and real-world product development. Anthropic has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, H-1B1 visa, and E-3 visa pathways as part of its technical hiring.
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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 member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
- Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
- Partner with account executives and solutions architects to translate customer business requirements into technical solutions
- Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to our Product and Engineering teams
- Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
You May Be a Good Fit If You Have
- 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.
- Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- Strong programming skills with proficiency in Python or TypeScript and experience building production applications
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Annual Salary
$200,000—$320,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 member of the Applied AI team at Anthropic, you will be a technical Product Engineer focused on becoming a trusted technical advisor to Digital Native Businesses - technology companies adopting the Claude API into their core products. You will work closely with customer product and engineering teams as they ship new products powered by Claude: advising on architecture design decisions, developing evaluation frameworks, and guiding customers through the most cutting-edge implementation patterns for LLMs. Working closely with our Sales, Product, and Engineering teams, you'll guide a focused portfolio of customers from technical discovery through successful deployment. You'll combine deep engineering expertise with customer-facing skills to help customers unlock the full potential of Claude APIs and move their products closer to the frontier, while maintaining our high standards for safety and reliability.
Responsibilities
- Serve as a specialist technical advisor to Anthropic customers as they deploy new products & workflows with our models: from discovery through deployment, coordinating internally across multiple teams to drive customer success
- Partner with account executives and solutions architects to translate customer business requirements into technical solutions
- Influence technical architecture decisions and customer product strategy by developing customized pilots, prototypes, and evaluation suites
- Lead hands-on technical workshops and code reviews with customer engineering teams
- Identify common design patterns and contribute insights back to our Product and Engineering teams
- Create scalable public and internal assets, documenting the latest LLM prompting, evaling, agentic, and architecture techniques
- Maintain strong knowledge of the latest developments in LLM capabilities, implementation patterns, and AI product development stacks
- Travel occasionally to customer sites for workshops, implementation support, and building relationships
- Attend conferences, lead speaking engagements, write blog posts and white papers on topics surrounding the AI space
You May Be a Good Fit If You Have
- 4+ years of experience in technical roles such as Forward Deployed Engineer, Software Engineer or Technical Product Manager with a desire to work closely with customers. Former technical founders are also encouraged to apply.
- Production experience with LLMs including advanced prompt engineering, agent development and frameworks, evaluation frameworks, transcript analysis, MCP, and deployment at scale
- Strong programming skills with proficiency in Python or TypeScript and experience building production applications
- Ability to navigate ambiguity and execute across domains with intellectual openness, finding simple solutions to complex problems
- High cooperation mindset for cross-organizational collaboration, balancing competing priorities with integrity
- Passion for advancing safe, beneficial AI systems through creative technical applications
- Exceptional communication skills to convey technical concepts to diverse stakeholders while maintaining a low ego and collaborative approach
Please note this role requires 3 days in office per week.
Deadline to apply: None. Applications will be reviewed on a rolling basis.
Annual Salary
$200,000—$320,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 AI Product Engineer Jobs at Anthropic
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Product Engineer Jobs at Anthropic.
Get Access To All JobsTips for Finding AI Product Engineer Jobs at Anthropic
Frame Your Portfolio Around Safety-Aware Engineering
Anthropic evaluates AI Product Engineers on their ability to build reliable, interpretable systems. Before applying, restructure your portfolio to highlight projects where you balanced capability with measurable safety or alignment constraints, not just performance benchmarks.
Target Roles That Match Your Visa Category
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for this role. If you hold Australian citizenship, the E-3 has no lottery and allows year-round filing. Confirm your target role qualifies as a specialty occupation under USCIS criteria before applying.
Request a Defined Start Date During Offer Negotiation
H-1B transfers and new filings both require USCIS processing time. During offer negotiation, ask Anthropic's recruiting team directly whether they use premium processing, which reduces USCIS adjudication to 15 business days and protects your start date.
Prepare a Degree Equivalency Letter Early
Anthropic's AI Product Engineer roles typically require a computer science or related degree. If your credential is from outside the U.S., obtain a credential evaluation from a NACES-approved evaluator before your interview loop, not after the offer.
Use Migrate Mate to Identify Active Sponsorship Openings
Anthropic posts AI Product Engineer roles across multiple channels, but not all listings reflect current sponsorship availability. Use Migrate Mate to filter specifically for roles at Anthropic that have active visa sponsorship, so you're applying where sponsorship is confirmed.
Understand How a Cap-Exempt Employer History Affects Your Filing
If you currently work at a university or nonprofit research lab, you may be cap-exempt and can file an H-1B with Anthropic outside the April lottery window. Confirm your current employer's cap-exempt status with USCIS criteria before counting on this path.
Frequently Asked Questions
Does Anthropic sponsor H-1B visas for AI Product Engineers?
Yes, Anthropic sponsors H-1B visas for AI Product Engineer roles. The company also supports H-1B1 visa and E-3 pathways depending on your nationality. If you're filing a new H-1B cap-subject petition, the annual lottery window applies, so your start date will depend on when you entered the lottery and whether premium processing is used.
How do I apply for AI Product Engineer jobs at Anthropic?
Applications go through Anthropic's careers page. The interview process typically includes a technical screen focused on ML systems design, followed by coding rounds and a final loop that assesses your understanding of responsible AI development. Use Migrate Mate to find current AI Product Engineer openings at Anthropic that are actively sponsoring visas before you apply.
Which visa types are commonly used for AI Product Engineer roles at Anthropic?
Anthropic sponsors H-1B, H-1B1 visa, and E-3 visas for AI Product Engineers. H-1B applies to most nationalities and requires entering the annual USCIS lottery unless you qualify for a cap-exempt transfer. H-1B1 is available to Chilean and Singaporean nationals. The E-3 is exclusive to Australian citizens and has no lottery, making it the most straightforward path for eligible candidates.
What qualifications and experience does Anthropic expect for AI Product Engineers?
Anthropic looks for engineers with a background in machine learning, systems design, and product development, typically supported by a bachelor's or graduate degree in computer science or a closely related field. Practical experience building or fine-tuning large language models, deploying inference pipelines, or working on evaluation frameworks is weighted heavily. Research contributions or prior work at an AI lab strengthens your application.
How long does the visa sponsorship process take for an Anthropic offer?
Timeline depends on your visa type and current status. An E-3 consular appointment in Australia can move within a few weeks of receiving your Labor Condition Application from the DOL. A new H-1B cap-subject petition requires winning the April lottery, with an earliest start date of October 1. Premium processing can reduce USCIS adjudication to 15 business days once a petition is filed.