Data Engineer, GTM
AI summary of the role
Anthropic seeks a Data Engineer to build the data foundation for its quote-to-cash lifecycle, designing canonical data models from Salesforce, CPQ, and billing systems to serve Sales, Deal Desk, Order Management, Revenue Operations, and Finance.
What you’ll do
- Design, build, and own data models transforming raw Salesforce, CPQ, and billing data into canonical datasets
- Establish high data integrity standards and SLAs for timely, accurate data delivery
- Partner with Salesforce, CPQ, and billing engineers on upstream schema changes and ingestion
- Build foundational data products, dashboards, and tools for self-serve analytics across GTM teams
What you’ll bring
- 5+ years as a Data Engineer, Analytics Engineer, or similar role, ideally partnering with GTM, RevOps, or Finance
- Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system (CPQ, CLM, billing, ERP)
- Expertise in multi-step ETL, dbt, Airflow, GitHub, SQL, and Python
- Experience building dashboards in visualization tools like Hex
Technologies
Salesforce · CPQ · billing · ERP · dbt · Airflow · GitHub · SQL · Python · Hex
About Anthropic
Frontier AI lab building Claude — safety-focused foundation models sold via API, Claude.ai, Claude Code, and enterprise platform; ~80% revenue from business customers.
Series G
Source and classification
Internal deployment & tooling · Evidence for this classification:
About Anthropic 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. About the Role As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash
More from the job description
About Anthropic 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. About the Role As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales. Responsibilities Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams, and translate them into technical requirements Design, build and own data models that transform raw Salesforce, CPQ, and billing data into canonical datasets Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data Partner with Salesforce, CPQ and billing engineer [... source excerpt omitted ...] 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
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