Data Engineer, Product (AI)

Location: San Francisco, CA; New York City, NY; or Seattle, WA. Hybrid policy: staff are expected to work from one of the offices at least 25% of the time.

Annual salary: $320,000–$405,000 USD

Company

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

What you will do

• Translate partner teams’ data needs into data models, reporting, and technical requirements.
• Build and manage dbt pipelines that transform raw logs into canonical datasets.
• Define data integrity standards and SLAs for accurate, timely delivery.
• Build dashboards and foundational data products that enable self-serve analytics.
• Partner with Product and other stakeholders to define metrics and analysis for consumer products.
• Shape Product roadmaps through data systems and architecture expertise.

Requirements

• Significant experience as a Data Engineer or in a similar Data Science & Analytics role.
• Expertise building multi-step ETL jobs with dbt and using workflow tools such as Airflow.
• Strong SQL and Python skills for developing accurate, clean data models.
• Experience building reporting and dashboards for cross-functional teams, including tools such as Hex.
• Bachelor’s degree or an equivalent combination of education, training, and experience.
• Experience using AI to improve individual and team productivity without reducing quality.

Nice to have

• Experience building a data engineering or similar function from the ground up in an early-stage or fast-growing environment.

Culture & Benefits

• Collaborative work across research, engineering, policy, and business teams.
• Flexible working hours and office collaboration.
• Generous vacation and parental leave.
• Competitive compensation and optional equity donation matching.
• Visa sponsorship is available, although sponsorship cannot be guaranteed for every role or candidate.