Engineering Manager, Data Infrastructure
Anthropic· Software Engineering - Infrastructure
Hybrid (San Francisco, CA), Hybrid (New York City, NY)$405k - $485kfull-timePosted 4w ago
About the role
Engineering Manager to lead and scale the Data Warehouse & Streaming Infra team, owning Anthropic's data platform end-to-end, shaping long-term data flow vision across multi-cloud environments, and partnering with Finance, Product, Research, and Engineering.
Responsibilities
- Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering ownership and engineering excellence
- Own data warehousing, streaming, and processing capabilities end-to-end including reliability, security, governance, and cost
- Scale and evolve data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems
- Define and execute roadmap for batch and streaming data infrastructure balancing immediate needs with durable design
- Lead platform decisions for streaming backbone (e.g., Kafka options) with models of throughput, cost, and operational burden
- Partner with Finance, Product, Research, and Engineering to ensure data systems support business-critical decisions and growth
- Drive hiring for senior data infrastructure engineers in a high-growth, high-trust environment
- Establish data quality standards, freshness and delivery SLAs, and operational processes for high-change environments
- Ensure sound infrastructure investment decisions considering cost, capacity, reliability, and maintainability
- Align Infrastructure org on common direction for shared platforms, tooling, and best practices across data stack
Qualifications
- 3+ years of engineering management experience building and leading data infrastructure teams
- People-first leadership with ability to give feedback, grow engineers' careers, and build trust across technical and non-technical partners
- Deep hands-on expertise in batch and streaming data infrastructure (warehousing, pipelines, orchestration, event streaming, CDC) and distributed log concepts
- Experience owning systems with significant business/financial impact and shipping at speed while improving reliability, scalability, security, and cost
- Strong hiring track record with ability to build teams from small to large
Skills
Required:Data warehousingStreaming data platformsLeadership and people management
Nice to have:Multi-cloud data architecture
Benefits
- Competitive compensation
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Office space for collaboration
Last updated Sep 23, 2026. Interested? Apply on the company site.
About Anthropic
building reliable, interpretable, and steerable AI systems
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
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