Systems Engineer Jobs at Anthropic with Visa Sponsorship
Systems Engineer roles at Anthropic sit at the intersection of large-scale infrastructure and frontier AI research, requiring deep experience with distributed systems, reliability engineering, and production environments. Anthropic sponsors multiple work visa categories for this function, making it a realistic target for international candidates with the right technical background.
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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
Anthropic’s Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet. We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements. The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI.
Responsibilities
- Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio
- Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications
- Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands
- Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions
- Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself
- Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency
- Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently
- Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do
- Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months
You May Be A Good Fit If You
- Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment
- Are proficient in Python and JavaScript/Node.js; React experience is a strong plus
- Have experience building and maintaining system integrations—REST APIs, event-driven pipelines, or ETL workflows—in a production environment
- Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation
- Bring enough business context to ask the right questions when a Finance stakeholder explains a problem—you don’t need to be an accountant, but you need to care about getting it right
- Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors
- Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch
- Are energized by working close to the business—you want to see the impact of your code, not just ship features
Strong Candidates May Also
- Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration
- Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity
- Have built SOX-compliant systems or supported an external audit related to financial systems
- Have deep understanding with ASC 606 revenue recognition or consumption-based billing models
- Be a power user of Claude Code or similar AI-assisted development tools
- Have experience at a high-growth technology company navigating system consolidation
- Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited
Annual Salary
$205,000—$265,000 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 Finance Systems team builds and owns the infrastructure that powers our quote-to-cash lifecycle—from pricing and billing through revenue recognition and financial close. As our revenue model grows in complexity, the team is moving beyond configuring off-the-shelf platforms and into building homegrown, production-grade financial applications that no vendor has built for us yet. We are seeking a Finance Systems Engineer to join our Finance Systems team in San Francisco. In this hands-on engineering role, you will both configure and extend the third-party platforms that run our financial operations including Zuora, Stripe, and Tesorio and design, build, and own full-stack applications and integrations that sit on top of them. You will write production Python, Node.js, and React code, author Workato recipes and API integrations across our SaaS stack, administer and tune the systems themselves, and ship working software—not manage vendors or write requirements documents. You will work at the intersection of software engineering and finance, building and configuring the tools that allow our Accounting, Revenue Operations, and Order Management teams to operate efficiently, accurately, and in compliance with SOX and ASC 606 requirements. The first thing you will inherit is our homegrown ledger application and the integrations that connect it to Workday, NetSuite, Zuora, Stripe, Tesorio, and Salesforce. From there, you will help us build the next generation of Finance tooling: self-serve workflows, automated reconciliation, and the operational surfaces that let Finance move at the speed the business demands. If you thrive in fast-paced environments and enjoy building scalable financial infrastructure from the ground up, come join us in our mission to build safe, transformative AI.
Responsibilities
- Own the architecture, development, and maintenance of Anthropic's internal finance applications, and own the configuration and ongoing administration of third-party platforms such as Zuora, Workday, and Tesorio
- Build and maintain integrations across the Finance systems stack: Zuora, Stripe, Workday, NetSuite, Salesforce, Tesorio, BigQuery and Billing applications
- Design system integrations that are auditable, observable, and recoverable—with the rigor that SOX compliance demands
- Identify manual, error-prone workflows in the month-end close and automate them with tested, production-grade solutions
- Partner with Accounting, Revenue Operations, and Order Management teams to translate business requirements into scalable technical designs—and then build them yourself
- Develop and maintain technical documentation, data flow diagrams, and runbooks so the team can operate systems without engineering dependency
- Contribute to continuous delivery infrastructure so Finance systems can ship reliably and frequently
- Instrument the Finance systems stack with observability tooling so the team knows when a pipeline breaks before the accountants do
- Become the go-to domain expert for one or more areas of the revenue systems stack within your first six months
You May Be A Good Fit If You
- Have 7+ years of engineering experience and are comfortable owning full-stack builds from architecture through production deployment
- Are proficient in Python and JavaScript/Node.js; React experience is a strong plus
- Have experience building and maintaining system integrations—REST APIs, event-driven pipelines, or ETL workflows—in a production environment
- Have worked with BigQuery, Postgres, or similar data platforms and are comfortable writing SQL for analysis, debugging, and reconciliation
- Bring enough business context to ask the right questions when a Finance stakeholder explains a problem—you don’t need to be an accountant, but you need to care about getting it right
- Are comfortable working directly in systems—configuring, troubleshooting, and building solutions yourself rather than solely managing vendors
- Thrive in environments where the problem is ambiguous and the solution needs to be built from scratch
- Are energized by working close to the business—you want to see the impact of your code, not just ship features
Strong Candidates May Also
- Have experience with Workato, MuleSoft, or similar iPaaS platforms for enterprise system integration
- Have worked with Zuora, CPQ, NetSuite, Workday, or Stripe in a technical capacity
- Have built SOX-compliant systems or supported an external audit related to financial systems
- Have deep understanding with ASC 606 revenue recognition or consumption-based billing models
- Be a power user of Claude Code or similar AI-assisted development tools
- Have experience at a high-growth technology company navigating system consolidation
- Have object-oriented programming experience in Java or similar languages if Python/Node.js experience is limited
Annual Salary
$205,000—$265,000 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 33+ Systems Engineer at Anthropic jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Systems Engineer at Anthropic roles.
Get Access To All JobsTips for Finding Systems Engineer Jobs at Anthropic Jobs
Tailor your resume to infrastructure at scale
Anthropic's Systems Engineer roles prioritize experience with distributed systems, high-availability infrastructure, and production reliability. Frame your resume around concrete outcomes: uptime improvements, latency reductions, or systems you designed that handled significant load growth.
Target Anthropic's research infrastructure teams directly
Anthropic hires Systems Engineers who support ML training pipelines and model deployment, not just traditional enterprise IT. Identify open roles that mention compute infrastructure, GPU clusters, or model serving, as these map most directly to their sponsorship-active hiring areas.
Understand which visa category fits your citizenship
Anthropic sponsors H-1B, H-1B1, and E-3 visas for this role. Australian citizens should prioritize the E-3 path, which has no lottery. Singaporean and Chilean nationals qualify for H-1B1. Everyone else should plan around the H-1B annual cap and April registration window.
Get your offer timing right for H-1B filing
If you need H-1B sponsorship, your offer must be in place before the March registration window. USCIS opens H-1B registrations each March for an October 1 start date. Missing registration means waiting a full year, so align your interview timeline accordingly.
Confirm sponsorship intent early in the process
Ask the recruiter directly whether the specific Systems Engineer opening is approved for visa sponsorship before completing technical rounds. Anthropic posts roles across teams with different hiring timelines, and not every open position is cleared for H-1B filing at the same point in the process.
Use Migrate Mate to filter sponsorship-verified openings
Search Systems Engineer roles at Anthropic on Migrate Mate, which filters specifically for positions where the company has an active visa sponsorship track record. This saves time you'd otherwise spend applying to roles that aren't cleared for international candidates.
Systems Engineer at Anthropic jobs are hiring across the US. Find yours.
Find Systems Engineer at Anthropic JobsFrequently Asked Questions
Does Anthropic sponsor H-1B visas for Systems Engineers?
Yes, Anthropic sponsors H-1B visas for Systems Engineer roles. The company has a consistent track record of filing petitions for technical roles in this function. If you need H-1B sponsorship, plan around the annual cap: USCIS opens registration each March for an October 1 start date, and selection is by lottery if registrations exceed available slots.
Which visa types does Anthropic commonly use for Systems Engineer roles?
Anthropic sponsors H-1B, H-1B1, and E-3 visas for Systems Engineer positions. The E-3 is available exclusively to Australian citizens and has a separate annual allocation that has never been oversubscribed, making it a more predictable path than the H-1B lottery. H-1B1 is available to Singaporean and Chilean nationals under trade agreements and is also cap-exempt from the general H-1B lottery.
How do I apply for Systems Engineer jobs at Anthropic?
Apply directly through Anthropic's careers page, where Systems Engineer roles are listed by team. You can also find sponsorship-verified openings on Migrate Mate, which filters for roles where Anthropic has an active sponsorship history. Before applying, confirm the specific posting is open to international candidates, since hiring approvals vary by team and budget cycle.
What qualifications does Anthropic expect for Systems Engineer roles?
Anthropic's Systems Engineer postings consistently require experience with distributed systems, Linux infrastructure, and production reliability engineering. Roles supporting ML research typically expect familiarity with compute cluster management, GPU infrastructure, or high-throughput networking. A bachelor's degree in computer science or a related engineering field is the standard baseline, though significant hands-on infrastructure experience at scale can compensate for a non-traditional academic background in some cases.
How do I plan my timeline if I need visa sponsorship to work at Anthropic?
Your timeline depends on which visa category applies to you. E-3 and H-1B1 applicants can typically start within a few months of receiving an offer, since these categories are not subject to the H-1B lottery. H-1B candidates must time their offer to align with the March registration window, with work authorization starting October 1 at the earliest. USCIS premium processing, currently available for H-1B petitions, can reduce adjudication time to around 15 business days once the petition is filed.
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