# Data Engineer, GTM

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Engineering
**Salary:** $320k – $405k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Salesforce, CPQ, dbt, Airflow, GitHub, ETL, Data Modeling, Hex, Billing Systems, ERP
**Posted:** 2026-09-09

> 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.

## Job Description

## 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.

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