Data Engineer, GTM
Core
Build the canonical data foundation for Anthropic's quote-to-cash lifecycle, enabling Sales, Deal Desk, Order Management, Revenue Operations, and Finance to work from a single governed definition of sold deals.
Role type
Senior Data Engineer (GTM & Finance Data)
Builds
Canonical datasets, foundational data products, and self-serve analytics tools for the quote-to-cash domain.
Domain
SaaS / Enterprise Software / Quote-to-Cash
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Salesforce data modeling, CPQ/billing/ERP system integration, multi-step ETL design, dbt, Airflow, SQL, Python, data warehouse architecture, data integrity standards, SLA definition.
Preferred skills
Experience building Analytics Data Engineering functions at startups, full-stack problem solving, thriving in ambiguity.
Technologies
Salesforce, CPQ, billing systems, ERP, dbt, Airflow, GitHub, Hex
Responsibilities
Translate business needs from Deal Desk, Order Management, RevOps, and Finance into technical requirements; design and own data models transforming raw Salesforce/CPQ/billing data; partner with upstream engineering teams on schema changes and ingestion; build data products and dashboards for self-serve analytics; establish data integrity standards and SLAs.
Seniority
Senior, hands-on IC