Описание

As 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 requirements
Design, build and maintain data models and pipelines in dbt that transform raw billing, usage and payments data into canonical datasets
Own revenue data accuracy and reconciliation, making sure billing, usage and revenue data tie out across systems
Define success metrics for billing systems, and build the data models and monitoring to track them
Set high data integrity standards and SLAs for timely, accurate delivery of billing and revenue data
Share on-call and data operations responsibilities for Finance Data Engineering pipelines
Build dashboards and self-serve data products that track core metrics and deliver insights across the company
Champion best practices for dbt, data modeling and SQL
Influence the Billing Engineering roadmap from a data systems perspective
Become an expert in our data models and data architecture

Requirements

5+ years of experience as a Data Engineer, Analytics Engineer or in a similar role
Expertise in SQL and Python, and in building multi-step data pipelines with tools like dbt
Experience with workflow orchestration tools like Airflow, and version control with GitHub
Familiarity with billing concepts such as invoicing, payments, credits, refunds and subscriptions, and experience working with data from billing systems
Experience building dashboards and reporting in tools like Hex for multiple cross-functional teams
A bias for action and urgency, without letting perfect be the enemy of the effective
A full-stack mindset: you do what it takes to solve a problem end to end, even when it goes beyond the original scope
Comfort with ambiguity, and the initiative to create clarity and keep work moving
A passion for Anthropic's mission of building helpful, honest and harmless AI

Nice to have

Experience partnering with billing, finance or accounting teams on revenue metrics and reconciliation
Experience building an analytics or data engineering function from an early stage

We offer

The annual compensation range for this role is $320,000—$405,000 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
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
Visa sponsorship is available
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Lovely office space in which to collaborate with colleagues

Hiring process

We encourage you to apply even if you do not believe you meet every single qualification
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
Anthropic recruiters only contact you from •••.com email addresses