Data Engineer, GTM
Anthropic · San Francisco, CA | New York City, NY · San Francisco, CA
CHECKED 4H AGO
Frontier labonsitesenior$320k–$405k
At a glance
Highlights
- Build the data foundation for Anthropic’s quote-to-cash lifecycle.
- Design canonical models defining what was sold and deal status.
- Enable self-serve analytics to scale across GTM teams.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
A mission-driven data engineer who partners closely with GTM and Finance, thrives in ambiguity, and brings urgency and end-to-end ownership to complex quote-to-cash data.
Requirements
- 5+ years as a Data Engineer, Analytics Engineer or similar, ideally partnering with GTM, Revenue Operations or Finance
- Hands-on modeling Salesforce data and at least one adjacent quote-to-cash system: CPQ, CLM, billing and invoicing, or ERP
- Expertise building multi-step ETL jobs and robust data models with dbt, Airflow and GitHub
- Expertise in SQL and Python to transform data into accurate, clean data models
- Experience building reporting and dashboarding in Hex for cross-functional teams
- Bachelor's degree or equivalent combination of education, training and/or experience
- remote policy
- Location-based hybrid: in office at least 25% of the time
- visa sponsorship
- We do sponsor visas, but sponsorship is not guaranteed for every role and candidate
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google