The opportunity
Anthropic's go-to-market teams are scaling quickly, and the decisions they make, from who to sell to and how to cover them to where to invest next, are only as good as the intelligence and infrastructure underneath them. As a Data Engineer on the GTM Systems data foundations…
What you'll do
Bring disparate internal and external sources together: orchestrate, model, and normalize first-party product and revenue data alongside third-party data into one usable understanding of the company landscape
Build and maintain identity and entity resolution, so every source attaches: to one trusted record for each company and the relationships between companies are clear
Help build the canonical layer where key attributes are defined once and mean: the same thing everywhere, with clear sourcing logic, provenance, and freshness
Turn data into intelligence: scores, signals, and AI-generated attributes that help GTM teams prioritize and act, held to the same quality bar as any other source
Deliver that intelligence to the surfaces where teams work, including the: CRM, and bring production discipline to how data moves through those systems
Operate what you build as a living system, with observability, data quality,: cost, security, and access controls designed in, so problems surface before the field sees them
What they're looking for
- + years of experience in data engineering, analytics engineering, or GTM data roles
- Experience building a shared data product or platform that several teams depend on and contribute to
- Experience with company data such as firmographics, corporate hierarchies, or master data management
- Experience using LLMs inside data pipelines and evaluating their output
- Hands-on Salesforce experience, including working at large data volumes
- Experience supporting GTM planning processes such as territory design, segmentation, or scoring
