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This job expired on 19/10/2026. It no longer accepts applications.
Data Engineering Manager, Product
Anthropic · San Francisco
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.
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Anthropic
San Francisco
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