Analytics Engineering Manager, Anthropic

• 5+ years of experience managing analytics engineering or data engineering teams, preferably in a scaling startup environment
• 10+ years of total experience in analytics engineering, data engineering, or similar data-focused roles
• Deep expertise in data modeling, ETL pipelines, and data warehouse architecture
• Proven track record of building and leading high-performing teams
• Strong technical foundation with expertise in SQL, Python, dbt, and modern data stack tools
• Experience partnering with Product, Engineering, and GTM leaders to deliver key company-wide metrics
• Demonstrated ability to balance strategic thinking with hands-on technical leadership
• Excellence in stakeholder management and cross-functional collaboration
• Strong communication skills with the ability to translate complex technical concepts for diverse audiences
• Experience scaling analytics functions from early stage to maturity
• Track record of establishing data governance, quality standards, and best practices
• A passion for Anthropic's mission of building helpful, honest, and harmless AI
• We require at least a Bachelor's degree in a related field or equivalent experience

Desirable

• As an Analytics Engineering Manager, you will lead and build the Analytics Engineering team responsible for creating the foundation that enables data-driven decision making across Anthropic
• You will oversee the development of scalable data solutions, manage a team of analytics engineers, and work closely with stakeholders across Data Science, Engineering, Product, GTM, and other areas to ensure teams have access to reliable, accurate metrics that can scale with our company's growth
• In this role, you'll balance technical leadership with people management, setting the strategic vision for our data infrastructure while developing and mentoring team members
• Lead and scale the Analytics Engineering team, including hiring and mentoring a team of high performing analytics engineers
• Define and execute the strategic roadmap for data infrastructure and analytics capabilities across the organization
• Oversee the design and implementation of scalable data pipelines, data models, and analytics solutions
• Partner with Data Science, Engineering, Product, GTM, and other leadership to understand data needs and translate them into technical requirements
• Establish and maintain high data integrity standards, SLAs, alerting, and best practices for the team
• Drive the development of foundational data products, dashboards, and tools to enable self-serve analytics; partner with the Data Science team to build innovative data tools using Claude to scale data driven decisions across the company
• Collaborate with cross-functional leaders to influence product and GTM roadmaps from a data systems perspective
• Foster a culture of technical excellence, continuous learning, and data-driven decision making
• Manage resource allocation, project prioritization, and team capacity planning
• Serve as a technical thought leader for data modeling, ETL processes, and analytics infrastructure