Data Engineer: GTM Data & Revenue Ops Backbone

Anthropic; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Flexible working hours

Generous vacation and parental leave

Optional equity donation matching

Lovely office space

Job summary

Anthropic is seeking a Data Engineer to build the data foundation for the quote-to-cash lifecycle, modeling Salesforce, CPQ, and billing data into canonical datasets. You will collaborate with GTM, Finance, and Revenue Ops to enable self-serve analytics across teams.

You will own data models, establish data integrity SLAs, and influence roadmap with a full-stack data mindset. Bachelor's degree required, 5+ years preferred.

Qualifications

• 5+ years of experience as a Data Engineer, Analytics Engineer or in a similar Data Science & Analytics role, ideally partnering with GTM, Revenue Operations or Finance teams.
• Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing or ERP.
• Expertise in building multi-step ETL jobs and robust data models using tooling like dbt.
• Proficient with workflow management platforms like Airflow and version control through GitHub.
• Proficient in SQL and Python to transform data into accurate, clean models.
• Experience building data reporting and dashboards in visualization tools (e.g., Hex) for cross-functional teams.
• Bias for action and a full-stack mindset to solve problems end-to-end, even beyond the original job description.
• Experience building an Analytics Data Engineering function at startups.
• Thrives in ambiguity and creates clarity to drive progress.

Responsibilities

• Understand data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems teams and translate into technical requirements.
• Design, build and own data models transforming raw Salesforce, CPQ, and billing data into canonical datasets.
• Establish high data integrity standards and SLAs for timely, accurate data delivery.
• Collaborate with Salesforce, CPQ and billing engineers on upstream schema changes to mirror systems of record.
• Build foundational data products, dashboards and tools for self-serve analytics across GTM teams.
• Influence stakeholder roadmaps and become the expert on Anthropic’s GTM data models and architecture.

Skills

Data modeling

SQL

Python

dbt

Airflow

GitHub

Salesforce data

CPQ / Billing data

dashboards

Education

Bachelor’s degree

Tools

dbt

Airflow

GitHub

Hex

Salesforce

CPQ

Job description

Anthropic is seeking a Data Engineer to build the data foundation for the quote-to-cash lifecycle, modeling Salesforce, CPQ, and billing data into canonical datasets. You will collaborate with GTM, Finance, and Revenue Ops to enable self-serve analytics across teams.

You will own data models, establish data integrity SLAs, and influence roadmap with a full-stack data mindset. Bachelor's degree required, 5+ years preferred.