Finance Systems Engineer, Revenue

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

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, 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.

Pulled from the full job description

• Parental leave
• Flexible schedule, 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.

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., 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.