Analytics Data Engineering Manager, Product

About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an Analytics Data Engineering Manager for the Product team at Anthropic, you will lead a team of analytics engineers building the data foundation to scale product analytics across the organization. You will partner with Product, Engineering, and GTM leaders to ensure teams have access to reliable, accurate metrics and self-serve insights that drive data-driven decisions at scale.

Requirements for this role were not fully retrieved. Based on the role title and Anthropic's standard analytics engineering management profile: • 5+ years of experience in analytics engineering or data engineering, with 2+ years managing a team • Deep expertise in dbt, SQL, Python, and modern data stack tooling (Airflow, Snowflake/BigQuery, etc.) • Experience partnering with Product and GTM teams to define and deliver key company-wide metrics • Track record of building scalable data pipelines and self-serve analytics platforms • Strong communication skills for translating technical data concepts to non-technical stakeholders • Passion for AI safety and beneficial AI development