Data Engineer, Billing & Payments

About Anthropic

Anthropics 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
As a Data Engineer supporting Billing & Payments Engineering youll join the Finance Data Engineering team and build the foundation for accurate scalable billing and revenue data across Anthropic. Youll 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. Youll make sure teams have trustworthy data that scales with our growth and youll 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

You may be a good fit if you have:
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 Anthropics mission of building helpful honest and harmless AI

Strong candidates may also 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

The annual compensation range for this role is listed below.

For sales roles the range provided is the roles 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:

$320000 - $405000 USD

Logistics

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit

How were 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. Were 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.

Required Experience:

IC