Data Engineer

Details

Anthropic is seeking a Data Engineer to join the GTM Systems data foundations team. The role will build data products and infrastructure that provide sellers, operators, and analysts with a current and trusted view of the market. You will treat go-to-market data as both a product and a platform, partnering with Sales Strategy and Operations, Finance, Data Science, and central data engineering teams.

Responsibilities

• Bring together disparate internal and external sources by orchestrating, modeling, and normalizing first-party product and revenue data with third-party data.
• Build and maintain identity and entity resolution systems so sources are connected to trusted company records and relationships.
• Develop the canonical data layer, including shared attribute definitions, sourcing logic, provenance, and freshness.
• Create scores, signals, and AI-generated attributes to help go-to-market teams prioritize and act.
• Deliver data intelligence to team workflows, including CRM systems, and maintain production discipline across data flows.
• Operate the platform with observability, data quality, cost management, security, and access controls.
• Partner with owners of planning, segmentation, and routing processes to establish definitions, commitments, and tradeoffs.
• Make the platform easy for other teams to build on and contribute to.

Requirements

• Experience as a data engineer or analytics engineer building and operating production pipelines and data models.
• Strong SQL and Python skills, with experience using modern transformation and orchestration tooling on a cloud data warehouse.
• Experience making data from multiple sources usable, including record matching, deduplication, and reconciliation of conflicting values.
• Familiarity with go-to-market data and CRM systems.
• Ability to evaluate data sources, shape definitions with business partners, and make decisions about data quality.
• Clear written and verbal communication with technical and non-technical partners.
• Regular hands-on use of AI tools in engineering work.
• Bachelor's degree or equivalent combination of education, training, and experience.

Preferred Qualifications

• Five or more years of experience in data engineering, analytics engineering, or go-to-market data roles.
• Experience building shared data products or platforms used and contributed to by multiple teams.
• Experience with firmographics, corporate hierarchies, or master data management.
• Experience using LLMs inside data pipelines and evaluating their output.
• Hands-on Salesforce experience, including work with large data volumes.
• Experience supporting go-to-market planning processes such as territory design, segmentation, or scoring.

Compensation

Annual salary: $320,000–$405,000 USD.

Work Policy and Logistics

Staff are currently expected to work from one of Anthropic's offices at least 25% of the time, although some roles may require more office time. Anthropic sponsors visas and makes reasonable efforts to obtain visas for successful candidates, with support from an immigration lawyer. Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office collaboration spaces.