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Data Engineering Manager, Product

Anthropic · San Francisco

🇬🇧 English
Data modeling Analytics engineering Product analytics infrastructure

Job description

About the role

Anthropic is seeking a Data Engineering Manager to lead the Product analytics engineering team. You will shape the data foundation that powers data‑driven decisions across multiple product pillars, ensuring reliable, scalable metrics for a fast‑growing AI company.

Key responsibilities

  • Build and scale a high‑performing analytics engineering team, including hiring and mentorship.
  • Define and execute the strategic roadmap for product data foundations and analytics capabilities.
  • Design and implement scalable data pipelines, data models, and data marts from raw product event logs.
  • Partner with Data Science, Product, and Engineering leaders to translate data needs into technical solutions.
  • Establish data integrity standards, SLAs, alerting, and best practices.
  • Develop self‑serve analytics tools, dashboards, and foundational data products.
  • Promote a culture of technical excellence and continuous learning.

Required profile

  • 8+ years managing analytics or data engineering teams, preferably in a scaling startup.
  • 10+ years of experience in analytics engineering, data engineering, or related data‑focused roles.
  • Proven ability to lead technical teams and deliver large‑scale data solutions.

Required skills

  • Data modeling
  • ETL pipeline development
  • Data warehouse architecture
  • Analytics engineering
  • Dashboard and data‑mart creation
  • Product analytics infrastructure

What we offer

  • Opportunity to shape data strategy at a leading AI company.
  • Collaborative environment with researchers, engineers, and product leaders.
  • Competitive compensation and benefits.

Questions fréquentes

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Source : ats:greenhouse

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Published 1 month ago

Expires 4 weeks from now

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Anthropic

San Francisco