Analytics Data Engineering Manager, Product at Anthropic

Anthropic

San Francisco, CA | New York City, NY | Seattle, WA·2d ago

ManagerFull-timePythonRustAWSData ScienceGitAIData

Salary Range

$163,200 - $220,800 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for an Analytics Data Engineering Manager to join Anthropic's Product organization. This role involves building and leading the analytics engineering team responsible for creating the data foundations that enable data-driven decision making across the company.

Key Responsibilities

→Build and scale the Product Analytics Engineering team, including hiring and mentoring high-performing analytics 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 understand data needs
→Establish and maintain high data integrity standards, SLAs, alerting, and best practices
→Drive the development of foundational data products, dashboards, and tools
→Foster a culture of technical excellence and data-driven decision making
→Serve as a technical thought leader for data modeling, ETL processes, and product analytics infrastructure

Requirements

✓5+ years of experience managing analytics engineering or data engineering teams
✓8+ 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 partnering with Data Science, Product, and Engineering leaders
✓Demonstrated ability to balance strategic thinking with hands-on technical leadership
✓Strong communication skills with the ability to translate complex technical concepts
✓Experience scaling analytics functions from early stage to maturity
✓Track record of establishing data governance, quality standards, and best practices
✓Bachelor's degree in a related field or equivalent experience