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Analytics Data Engineering Manager, Product

New York City, NY💼 Full-time💰 $370,000–$370,000🗓 2026-05-08 → 2026-07-31

Core

Build and lead the analytics engineering team creating data foundations for data-driven decision making across Anthropic's Product organization, transforming raw event logs into canonical datasets and insightful data marts.

Role type

Senior IC Analytics Data Engineering Manager (Product)

Builds

Scalable data pipelines, data models, analytics solutions, and foundational data products/dashboards for Product pillars (Consumer, Claude Code, Enterprise, Growth, Platform).

Domain

AI / Large Language Models / Product Analytics

Deliverable

production ML models | product features | dashboards & analysis

Required skills

Data modeling, ETL pipelines, data warehouse architecture, SQL, Python, dbt, team leadership, strategic roadmap execution, data governance, stakeholder partnership.

Preferred skills

Scaling analytics functions in startups, hands-on technical leadership, full-stack mindset, data-driven decision making.

Technologies

SQL, Python, dbt, modern data stack tools, Claude (AI assistant).

Responsibilities

Build and scale the Product Analytics Engineering team; Define and execute the strategic roadmap for product data foundations; Oversee design and implementation of scalable data pipelines and data marts; Partner with Data Science, Product, and Engineering leadership to translate data needs into technical requirements; Establish and maintain high data integrity standards, SLAs, and alerting; Drive development of foundational data products and self-serve analytics tools; Serve as a technical thought leader for data modeling and product analytics infrastructure.

Seniority

Senior, hands-on IC with people management

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