Data Engineer, GTM

Anthropic · San Francisco, CA | New York City, NY · Data Science & Analytics · listed September 9, 2026

The shape of it

Seniority
Senior
Experience asked
5+ years
Where
Hybrid
Stated pay
$320,000 – $405,000 USD
Requirements listed
5
Length
1,038 words

In the posting’s own words

As a Data Engineer on the Data Science & Analytics team, you will build the data foundation for Anthropic’s quote-to-cash lifecycle: the path a deal takes from opportunity through revenue. You will design the canonical data models so that Sales, Deal Desk, Order Management, Revenue Operations and Finance work from one governed, auditable definition of what was sold, on what terms, and where each deal stands. You will partner closely with DS&A and with GTM and Finance systems teams who own Salesforce, CPQ and billing to make quote-to-cash data reliable, well-modeled and self-serve as our business scales.

What it asks for · 5

  • 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.
  • 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.
  • Experience building an Analytics Data Engineering (or similar) function at start-ups.

What the job covers

  • 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

Tools and skills named

Go to market
  • Go-to-market4×
  • Salesforce4×
Data
  • Airflow
  • dbt
  • ETL
Languages
  • Python
  • SQL
Ways of working
  • Cross-functional

Words the posting leans on

  • data21×
  • analytics5×
  • building5×
  • data models5×
  • management5×
  • billing4×
  • deal4×
  • engineer4×
  • experience4×
  • finance4×
  • gtm4×
  • systems4×
  • build3×
  • quote-to-cash3×
  • revenue operations3×
  • salesforce cpq3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 9, 2026 and last changed by Anthropic on September 9, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.