Data Engineering Manager, Product

About the Company

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.

Responsibilities

• Build and scale the Product Analytics Engineering team, including hiring and mentoring high-performing engineers
• Define and execute the strategic roadmap for product data foundations and analytics capabilities
• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions
• Partner with Data Science, Product, and Engineering leadership to translate data needs into technical requirements
• Establish and maintain high data integrity standards, SLAs, alerting, and best practices
• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics
• Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

Requirements

• 8+ years of experience managing analytics engineering or data engineering teams
• 10+ years of total experience in analytics engineering, data engineering, or similar roles
• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools
• Proven track record of building and leading high-performing teams
• Experience scaling analytics functions from early stage to maturity
• Track record of establishing data governance and quality standards
• Bachelor’s degree or equivalent combination of experience

Preferred Qualifications

• Experience in a scaling startup environment
• Experience partnering with Data Science and Product leaders to deliver user behavior insights
• Ability to balance strategic thinking with hands-on technical leadership