Data Engineer, GTM (AI)

Location: San Francisco, CA or New York City, NY; hybrid attendance required at least 25% of the time

Annual salary: $320,000–$405,000 USD

Company

Anthropic develops reliable, interpretable, and steerable AI systems designed to be safe and beneficial for users and society.

What you will do

• Translate data needs from Deal Desk, Order Management, Revenue Operations, Finance, and Sales systems teams into technical requirements.
• Design and own canonical data models that transform Salesforce, CPQ, and billing data into governed datasets.
• Establish data integrity standards and SLAs for timely and accurate data delivery.
• Partner with Salesforce, CPQ, and billing engineers on schema changes, new fields, and ingestion pipelines.
• Build foundational data products, dashboards, and self-service analytics tools for GTM teams.
• Influence stakeholder roadmaps and own Anthropic’s GTM data models and architecture.

Requirements

• 5+ years of experience as a Data Engineer, Analytics Engineer, or in a similar Data Science & Analytics role.
• Hands-on experience modeling Salesforce data and at least one adjacent quote-to-cash system, such as CPQ, contract lifecycle management, billing, invoicing, or ERP.
• Expertise in multi-step ETL jobs, robust data modeling with dbt, workflow management with Airflow, and version control with GitHub.
• Strong SQL and Python skills for transforming data into accurate, clean models.
• Experience building reporting and dashboards with visualization tools such as Hex for cross-functional teams.
• Bachelor’s degree or equivalent education, training, or experience in a relevant field.

Nice to have

• Experience partnering with GTM, Revenue Operations, or Finance teams.
• Experience building an Analytics Data Engineering function at a startup.
• Experience working in ambiguous environments and taking end-to-end ownership of problems.

Culture & Benefits

• Collaborative environment focused on high-impact AI research and trustworthy AI systems.
• Flexible working hours and a hybrid office policy.
• Competitive compensation, optional equity donation matching, generous vacation, and parental leave.
• Visa sponsorship is available when feasible for the role and candidate, with immigration lawyer support.
• Office spaces designed for collaboration and frequent research discussions.

Hiring process

• Candidate AI usage is subject to Anthropic’s application policy.