Anthropic
Data Engineer, GTM
About this role
Build and own the data foundation for Anthropic's quote-to-cash lifecycle, designing canonical data models that unify Salesforce, CPQ, and billing data across Sales, Deal Desk, Revenue Operations, and Finance teams. You'll establish data integrity standards, create self-serve analytics products, and partner with GTM and Finance systems teams to scale reliable, governed data across the business.
What you'll do
- Translate data needs from Deal Desk, Order Management, Revenue Ops, Finance, and Sales into technical requirements
- Design and own data models transforming raw Salesforce, CPQ, and billing data into canonical datasets
- Establish data integrity standards and SLAs for timely, accurate data delivery
- Partner with Salesforce, CPQ, and billing engineers on upstream schema changes and data ingestion
- Build foundational data products, dashboards, and self-serve analytics tools for GTM teams
- Influence stakeholder roadmaps and become the expert on GTM data models and architecture
What they're looking for
- Data modeling and ETL pipeline design
- SQL and Python for data transformation
- dbt and workflow orchestration (Airflow)
- Salesforce data modeling and quote-to-cash systems (CPQ, billing, contract management)
- Data visualization tools (Hex)
- GitHub and version control
- Analytics engineering
- Full-stack problem-solving and initiative
Opens the application — the Jobs AI extension fills it for you. Set up autofill
Opens the official application on the employer’s site. No login required.
Anthropic
Anthropic builds Claude, an AI assistant, and is hiring for engineering roles across infrastructure, data systems, and security that support both AI research operations and the company's internal technology needs. The company seeks infrastructure engineers, systems integrators, data scientists, and security specialists to build production-scale systems for training data pipelines, financial operations, developer productivity measurement, research infrastructure, and server firmware security.
- Website
- anthropic.com
Likely interview questions
- Walk us through a complex Salesforce data modeling project you led—what challenges did you face and how did you ensure data quality?
- Describe your experience with quote-to-cash systems. Which CPQ or billing platform have you worked with, and how did you integrate it with your data warehouse?