Finance Systems Engineer, Revenue
Anthropic · San Francisco, United States ·
- Work mode
- Hybrid
- Category
- Software engineering
- Experience
- 7+ years
Anthropic · San Francisco, United States ·
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.
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.
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
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
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
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:
$205,000—$270,000 USD
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 directly for confirmed position openings.
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.
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.