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Data Engineer, GTM

Anthropic· Data Science & Analytics
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Hybrid (San Francisco, CA), Hybrid (New York City, NY)$320k - $405kFull-timePosted 1mo ago

About the role

Data Engineer on the Data Science & Analytics team to build the data foundation for Anthropic’s quote-to-cash lifecycle, designing canonical data models for Sales, Deal Desk, Order Management, Revenue Operations, and Finance, and collaborating with GTM and Finance systems teams.

Responsibilities

  • Understand the data needs of Deal Desk, Order Management, Revenue Operations, Finance and Sales systems 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 so the warehouse faithfully mirrors the systems of record
  • Build foundational data products, dashboards and tools to enable self-serve analytics to scale across GTM teams
  • Influence stakeholder roadmaps from a data perspective, and become the expert on Anthropic’s GTM data models and architecture

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 and invoicing, or ERP
  • Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub
  • Expertise in SQL and Python to transform data into accurate, clean data models
  • Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams
  • A bias for action and urgency, not letting perfect be the enemy of the effective
  • A “full-stack mindset”, capable of solving problems end-to-end beyond the original job description
  • Experience building an Analytics Data Engineering (or similar) function at start-ups
  • Strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress

Skills

Required:Data modelingETL / Data pipelinesSQLPythondbt

Benefits

  • Competitive compensation and benefits
  • Optional equity donation matching
  • Generous vacation and parental leave
  • Flexible working hours
  • Lovely office space in San Francisco
Last updated Sep 9, 2026. Interested? Apply on the company site.

About Anthropic

building reliable, interpretable, and steerable AI systems

Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.

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