Data Engineer, Product

Highlights

• Build the data foundation that lets analytics scale across Anthropic.
• Turn raw product logs into reliable metrics for consumer products.
• Create self-serve insights so teams make data-driven decisions.

What they offer

• Competitive compensation and benefits
• Optional equity donation matching
• Generous vacation and parental leave
• Flexible working hours
• Lovely office space for collaboration

Ideal candidate

Product-minded data engineer who thrives in ambiguity and owns problems end-to-end. You have a bias for action, create clarity for partners, and care deeply about building helpful, honest AI.

Requirements

• Significant experience as a Data Engineer or similar Data Science & Analytics role, ideally partnering with Product
• Passion for Anthropic's mission of building helpful, honest and harmless AI
• Expertise building multi-step ETL jobs with dbt, plus Airflow and GitHub
• Expertise in SQL and Python for accurate, clean data models
• Experience building reporting and dashboards in Hex for cross-functional teams
• Bias for action and sense of when good enough beats perfect
• End-to-end ownership mindset, including work beyond usual scope
• Comfort with ambiguity and habit of creating clarity and progress
• Experience using AI to scale personal and team productivity without lowering quality
• Bachelor's degree or equivalent combination of education, training and experience