320K–405K USD / year
Data Engineer
DataHybrid — San Francisco, CA, New York City, NY, Seattle, WA
Published on 2026-10-30
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
Build and operate trusted data products and infrastructure for Anthropic’s go-to-market teams. The role focuses on combining company and third-party data, resolving company identities, and delivering reliable intelligence into systems such as the CRM.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
The team
GTM Systems data foundations team
Stack
SQLPythonCloud data warehouseSalesforceLLMs
What you'll do
- Combine, orchestrate, model, and normalize data from internal and external sources
- Build identity resolution and entity matching for trusted company records
- Create canonical data definitions with clear sourcing, provenance, and freshness
- Deliver scores, signals, and AI-generated attributes to GTM teams and CRM systems
- Operate data products with observability, quality, cost, security, and access controls
- Partner with GTM process owners on planning, segmentation, routing, and definitions
- Build shared platform capabilities that other teams can reuse
What we're looking for
- Experience building and operating production data pipelines and models
- Strong SQL and Python skills, with modern transformation and orchestration tooling on a cloud data warehouse
- Experience matching, deduplicating, and reconciling messy data from multiple sources
- Familiarity with go-to-market data and CRM systems
- Sound judgment on data quality, source selection, and business definitions
- Clear communication with technical and non-technical partners
- Regular hands-on use of AI tools in engineering work
Nice to have
- 5+ years in data engineering, analytics engineering, or GTM data roles
- Experience building shared data products or platforms
- Experience with firmographics, corporate hierarchies, or master data management
- Experience using and evaluating LLMs in data pipelines
- Hands-on Salesforce experience at large data volumes
- Experience with territory design, segmentation, or scoring
Benefits
- Generous vacation and parental leave
- Flexible working hours
- Optional equity donation matching