Data Engineer, GTM

About the role

Anthropic is seeking a Data Engineer to build the data foundation for its quote‑to‑cash lifecycle. The role will design canonical data models that unify sales, finance, and operations data, ensuring reliable, auditable information across the organization.

Key responsibilities

• Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales 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.
• Build foundational data products, dashboards and tools to enable self‑serve analytics for GTM teams.
• Influence stakeholder roadmaps from a data perspective and become the expert on Anthropic’s GTM data models and architecture.

Required profile

• 5+ years of experience as a Data Engineer, Analytics Engineer or similar role, preferably partnering with GTM, Revenue Operations or Finance teams.
• A passion for Anthropic’s mission of building safe and beneficial AI.
• Hands‑on experience modeling Salesforce data and at least one adjacent quote‑to‑cash system (CPQ, contract lifecycle management, billing or ERP).
• Experience building multi‑step ETL jobs and robust data models using tools like dbt.
• Proficiency with workflow management platforms (e.g., Airflow) and version‑control tools such as GitHub.
• Strong expertise in SQL and Python for data transformation.
• Experience creating data reporting and dashboards in visualization tools like Hex.
• A bias for action, urgency and a full‑stack mindset to solve problems end‑to‑end.
• Experience establishing an Analytics Data Engineering function in a startup environment.

Required skills

• Salesforce
• CPQ
• dbt
• Airflow
• GitHub
• SQL
• Python
• Hex
• ETL
• Data modeling