Anthropic
Data Engineer, GTM
$320K–$405K
San Francisco, CA +2 · Full-time · Posted Sep 8, 2026
- Location
- San Francisco, CA
New York City, NY
San Francisco, California, United States - Experience
- 5+ years as a Data Engineer, Analytics Engineer, or in a similar Data Science & Analytics role. The posting also says required years correlate with internal job-level requirements.
- Education
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; a field relevant to the role as demonstrated through coursework, training, or professional experience.
- Visa sponsorship
- Visa sponsorship is offered, but not guaranteed for every role or candidate; if an offer is made, Anthropic says it will make every reasonable effort to obtain a visa and provides an immigration lawyer.
About the job
Build the governed data foundation for Anthropic’s quote-to-cash lifecycle, turning Salesforce, CPQ, and billing data into reliable canonical datasets and self-serve analytics for GTM and Finance teams.
What you'll do
- Translate stakeholder data needs into technical requirements and build canonical data models from raw source data.
- Set data integrity standards and SLAs, and coordinate with systems engineers on schema changes and ingestion.
- Build data products, dashboards, and tools for self-serve analytics; advise stakeholders on data roadmaps and architecture.
What they ask for
- Hands-on Salesforce data modeling and experience with at least one adjacent quote-to-cash system: CPQ, contract lifecycle management, billing and invoicing, or ERP.
- Expertise in multi-step ETL and robust data modeling; proficiency with dbt, Airflow, and GitHub.
- Expertise in SQL and Python for data transformation.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience; relevant field of study.
Nice to have
- Experience partnering with GTM, Revenue Operations, or Finance teams.
- Experience building an Analytics Data Engineering (or similar) function at start-ups.
Pay
$320,000 — $405,000 USD (base salary)
Tools
Salesforce, CPQ, dbt, Airflow, GitHub, SQL, Python, Hex
Model-written summary · the original posting is authoritative