Engineering Manager, Data Infrastructure
Anthropic · San Francisco, CA | New York City, NY
About this role
**Engineering Manager, Data Infrastructure** **About Anthropic** Anthropic’s mission is to create reliable, interpretable, and steerable AI systems—safe and beneficial for users and society. **About the role** Anthropic is looking for an **Engineering Manager** to lead and scale the **Data Warehouse & Streaming Infra** team. You’ll own the data platform that powers the business and helps keep systems safe—supporting both batch and real-time streaming across multiple clouds. This is a high-visibility, high-impact role requiring both **deep technical judgment** and **strong people leadership**. You’ll partner across Finance, Data Science, Product, Engineering, and Research, and grow a small core team into a larger organization. **Responsibilities** - Lead, grow, and mentor the Data Warehouse & Streaming Infra team; foster ownership, collaboration, engineering excellence, and fast execution - Own data warehousing, streaming, and processing end-to-end (reliability/security/governance/cost, plus long-term vision) - Scale and evolve ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems - Define and execute the roadmap for batch + streaming infrastructure, balancing immediate needs with durable scalable design - Make key platform decisions for the streaming backbone (e.g., managed vs. self-operated Kafka) using clear models for throughput, cost, and operational burden - Partner across Finance, Product, Research, and Engineering so data systems support business-critical decisions and company growth - Drive hiring for the team—sourcing, evaluating, and closing senior data infrastructure engineers - Establish data quality standards, freshness and delivery SLAs, and operational processes for a high-change environment - Ensure sound infrastructure investment decisions across cost, capacity, reliability, and long-term maintainability - Align the broader Infrastructure org on shared platforms, tooling, and best practices across Anthropic’s data stack **You may be a good fit if you** - Have **3+ years** of engineering management experience building and leading high-performing data infrastructure teams - Are a **people-first leader** who gives direct feedback, grows engineers’ careers, and builds trust with technical and non-technical partners - Have deep hands-on expertise in **batch + streaming data infrastructure** (warehousing, pipelines, orchestration, event streaming, CDC; distributed log fundamentals like partitioning, delivery guarantees, and backpressure) - Have owned systems with significant business/financial impact and shipped at speed while improving reliability, scalability, security, and cost - Excel at hiring—building teams from small to large and identifying exceptional talent **Strong candidates may also have experience with** - Warehouse/batch tech: **BigQuery, Snowflake, Iceberg, Spark, dbt, Airflow** - Streaming/CDC tech: **Kafka, Pub/Sub, Flink, Debezium** (ideally at high scale) - Multi-cloud (GCP/AWS/Azure) or multi-region platforms, including data residency requirements - Data infrastructure at AI/ML-intensive companies (pipelines for financial/billing data, model training/evaluation, or safety workflows) - Observability/monitoring for data systems at scale - High-growth environments where data infrastructure had to evolve rapidly **Compensation (Annual Salary)** - **$405,000 – $485,000 USD** **Logistics** - **Minimum education:** Bachelor’s degree (or equivalent
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