Data Engineering Manager, Product

Anthropic

Hybrid - SF, NYC, or Seattle, at least 25% in officeUpdated 1d ago

Compensation: $405k–$485k
Location: Hybrid - SF, NYC, or Seattle, at least 25% in office
Employment: Full-time
Role family: Data

Role skills

sql python dbt etl+1

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About the job

Anthropic is an AI safety company focused on building reliable, interpretable, and steerable AI systems. We are seeking a Data Engineering Manager to lead the analytics engineering team for our Product organization.

Responsibilities

Build and scale the Product Analytics Engineering team, including hiring and mentoring analytics engineers.
Define and execute the strategic roadmap for product data foundations and analytics capabilities.
Oversee 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 data integrity standards, SLAs, alerting, and best practices.
Drive development of foundational data products, dashboards, and tools for self-serve analytics.

Qualifications

8+ years managing analytics engineering or data engineering teams.
10+ years total experience in analytics engineering, data engineering, or similar.
Deep expertise in data modeling, ETL pipelines, and data warehouse architecture.
Strong technical foundation in SQL, Python, dbt, and modern data stack tools.
Proven track record of building and leading high-performing teams.