Engineering Manager (Data Infrastructure)

Join Anthropic, a leading AI safety and research company, as an Engineering Manager for our Data Warehouse & Streaming Infra team. In this high-impact role, you will lead and scale our data platform, ensuring it meets the needs of every team in the organization. You will collaborate with leaders across finance, data science, product, engineering, and research to shape the long-term vision for data flow and infrastructure. This position offers a competitive salary, comprehensive benefits, and the opportunity to make a significant impact in a fast-growing company.

• Lead, grow, and mentor the Data Warehouse & Streaming Infra team, fostering a culture of ownership, collaboration, engineering excellence, and execution at speed.
• Own Anthropic's data warehousing, streaming, and processing capabilities end-to-end, ensuring a "wow" user experience, ops, reliability/security/governance/cost, and long-term strategic vision.
• Collaborate to define and execute the roadmap for Anthropic's batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design.

• We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people
• Excel at hiring — you've built teams from small to large, and have sharp instincts for identifying exceptional talent
• Bring deep, hands-on expertise in both batch and streaming data infrastructure, from warehousing, pipelines, and orchestration to event streaming and change data capture, including the fundamentals of distributed log systems such as partitioning, delivery guarantees, and backpressure
• Are a people-first leader who gives direct feedback, grows engineers' careers, and builds trust with technical and non-technical partners alike, while staying steady and principled as priorities shift, knowing when to move fast and when to do it right
• Have 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams
• Have owned systems with significant business or financial impact, and shipped at speed while improving reliability, scalability, security, and cost
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• We encourage you to apply even if you do not believe you meet every single qualification
• 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