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AnthropicAnthropic

Data Engineer, GTM

Build and govern quote-to-cash data models and products integrating Salesforce, CPQ, billing, and finance systems. The role requires 5+ years of data engineering experience, strong SQL and Python skills, and expertise in self-service analytics for GTM teams.

About the job

Responsibilities

  • Translate data needs from Deal Desk, Order Management, Revenue Operations, Finance, and Sales systems teams into technical requirements.
  • Design, build, and own data models that transform 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, new fields, and ingestion.
  • Build foundational data products, dashboards, and tools for self-service analytics across GTM teams.
  • Influence stakeholder roadmaps and own GTM data models and architecture.

Requirements

  • 5+ years of experience as a Data Engineer, Analytics Engineer, or in a similar data role, ideally supporting GTM, Revenue Operations, or Finance.
  • Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system, such as CPQ, contract lifecycle management, billing and invoicing, or ERP.
  • Experience building multi-step ETL jobs and robust data models with tools such as dbt.
  • Proficiency with workflow management platforms such as Airflow and version control tools such as GitHub.
  • Expertise in SQL and Python.
  • Experience building reporting and dashboards with visualization tools such as Hex.
  • Experience building an Analytics Data Engineering function or similar capability at startups.
  • Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field.

Nice to Have

  • Experience partnering with GTM, Revenue Operations, or Finance teams.
  • Full-stack, end-to-end problem-solving mindset.
  • Ability to operate effectively in ambiguity and take initiative.

Compensation

  • Annual salary: $320,000–$405,000 USD.

Skills

SQL, Python, Salesforce, CPQ, dbt, Airflow, GitHub, ETL, Data Modeling, Hex, Billing Systems, ERP

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