June 2026 archive · For research and skill exploration. Current job availability is unverified.
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Anthropic

Analytics Data Engineering Manager, Product

Lead analytics engineering team building scalable product data foundations for AI company.

AnthropicText summary from the June 2026 archive. original source →

The role

You will build and lead an analytics engineering team that creates reliable data infrastructure enabling product-driven decisions across Anthropic's product organization. The role balances hands-on technical expertise with people management, overseeing data pipelines and metrics that support five major product pillars while mentoring engineers.

What you'd do

  • Recruit, develop, and mentor high-performing analytics engineers embedded across product teams
  • Define and execute strategic roadmap for product data foundations and analytics capabilities
  • Design and oversee scalable data pipelines, models, and solutions transforming event logs into actionable datasets
  • Collaborate with Data Science, Product, and Engineering leaders to translate data requirements into technical architecture
  • Establish data governance standards, quality metrics, alerting systems, and team best practices
  • Build foundational data products and dashboards enabling self-serve analytics across Product
  • Serve as technical leader for data modeling, ETL processes, and product analytics infrastructure

What they're looking for

  • Minimum five years managing analytics or data engineering teams in scaling startup environments
  • Minimum eight years total experience in analytics engineering, data engineering, or related data roles
  • Expert-level knowledge of data modeling, ETL pipelines, and data warehouse architecture
  • Strong proficiency in SQL, Python, dbt, and modern data stack tools
  • Proven success building and leading high-performing technical teams
  • Experience partnering with Data Science, Product, and Engineering to deliver product metrics
  • Demonstrated ability to balance strategic vision with hands-on technical contributions
  • Strong communication skills translating complex technical concepts for diverse audiences
  • Experience scaling analytics functions from early stage to maturity
  • Track record establishing data governance and quality standards
  • Bachelor's degree or equivalent professional experience in relevant field

Nice to have

  • Experience with Claude or large language model products
  • Familiarity with AI safety and interpretability concepts
  • Background working on foundational data products using AI

Summary written by RoleDeck from the original posting. This is an extracted, own-words summary and may contain errors. The original source may have changed or expired.