Data Engineer, Billing & Payments

Data Engineer Supporting Billing & Payments EngineeringAs a Data Engineer supporting Billing & Payments Engineering, you'll join the Finance Data Engineering team and build the foundation for accurate, scalable billing and revenue data across Anthropic. You'll work closely with Billing Engineering, Finance and Accounting, as well as Product and other partners, to turn billing and payments data into reliable metrics, reporting and insights. You'll make sure teams have trustworthy data that scales with our growth, and you'll lead your own projects to enable self-serve insights that help teams make data-driven decisions.Responsibilities:Partner with Billing Engineering, Finance and Accounting to understand their data and reporting needs, and translate them into technical requirementsDesign, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasetsOwn revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systemsDefine success metrics for billing systems, and build the data models and monitoring to track themSet high data integrity standards and SLAs for timely, accurate delivery of billing and revenue dataShare on-call and data operations responsibilities for Finance Data Engineering pipelinesBuild dashboards and self-serve data products that track core metrics and deliver insights across the companyChampion best practices for dbt, data modeling and SQLInfluence the Billing Engineering roadmap from a data systems perspectiveBecome an expert in our data models and data architectureYou may be a good fit if you have:5+ years of experience as a Data Engineer, Analytics Engineer or in a similar roleExpertise in SQL and Python, and in building multi-step data pipelines with tools like dbtExperience with workflow orchestration tools like Airflow, and version control with GitHubFamiliarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systemsExperience building dashboards and reporting in tools like Hex for multiple cross-functional teamsA bias for action and urgency, without letting perfect be the enemy of the effectiveA full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scopeComfort with ambiguity, and the initiative to create clarity and keep work movingA passion for Anthropic's mission of building helpful, honest and harmless AIStrong candidates may also have:Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliationExperience building an analytics or data engineering function from an early stageAnnual Salary: $320,000 —$405,000 USDLogisticsMinimum education: Bachelor's degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-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 DifferentWe 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.