Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems. Backed by Accel, Bessemer and General Catalyst.
About the role
Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer.
What they're looking for
- Warehouse and batch technologies such as BigQuery, Snowflake, Iceberg, Spark, dbt, or Airflow
- Streaming and change data capture technologies such as Kafka, Pub/Sub, Flink, or Debezium, ideally including running them at high scale
- Multi-cloud (GCP, AWS, Azure) or multi-region data platforms, including data-residency requirements
- Data infrastructure at AI or ML-intensive companies: you've served customer teams that build pipelines for financial/billing data, model training, evaluation, or safety workflows
- Building and operating observability or monitoring for data systems at scale
- Working in high-growth environments where data infrastructure had to evolve rapidly to keep pace with the business
More about this role
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse & Streaming Infra team. You'll own the data platform that Anthropic runs on: the foundation every team relies on to understand the business, make decisions, and keep our systems safe. Every org is your customer. As data volumes grow rapidly, and more of it arrives as real-time streams across multiple clouds, you'll help your team make that stack faster, more robust, and ready for what's next, and you'll shape the long-term vision for how data flows through one of the fastest-growing companies ever.
This is a high-visibility, high-impact role that calls for both deep technical judgment and strong people skills. You'll partner with leaders across finance, data science, product, engineering, and research to uncover and meet their needs, and you'll grow a small, strong core into a...
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