Data Engineer, GTM

Job summary

Responsibilities

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.

• 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 engineers on upstream schema changes, new fields and ingestion so the warehouse faithfully mirrors the systems of record
• Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams

What they're looking for

• 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams.
• A passion for the company's mission of building helpful, honest, and harmless AI.
• Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP.
• Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control…
• Expertise in SQL and Python to transform data into accurate, clean data models.

Tech stack

• dbt
• Airflow
• SQL
• Python