Engineering Manager, Data Infrastructure

Details

Anthropic is looking for an Engineering Manager to lead and scale its Data Warehouse & Streaming Infrastructure team. The role owns the data platform that supports the company’s business decisions, operational safety, and growth. The manager will help evolve the platform as data volumes increase and more real-time data arrives across multiple clouds.

The position combines technical leadership, people management, strategic planning, and cross-functional collaboration with Finance, Data Science, Product, Engineering, and Research.

Responsibilities

• Lead, grow, and mentor the Data Warehouse & Streaming Infrastructure team.
• Foster a culture of ownership, collaboration, engineering excellence, and rapid execution.
• Own data warehousing, streaming, and processing capabilities, including user experience, operations, reliability, security, governance, cost, and long-term strategy.
• Scale and evolve data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems.
• Define and execute the roadmap for batch and streaming data infrastructure.
• Lead platform decisions such as managed versus self-operated Kafka, considering throughput, cost, and operational burden.
• Partner with Finance, Product, Research, and Engineering to support business-critical decisions and company growth.
• Drive hiring for senior data infrastructure engineers.
• Establish data quality standards, freshness and delivery SLAs, and operational processes.
• Make infrastructure investment decisions based on cost, capacity, reliability, and maintainability tradeoffs.
• Align the Infrastructure organization on shared platforms, tooling, and data-stack best practices.

Requirements

• 3+ years of engineering management experience.
• Track record of building and leading high-performing data infrastructure teams.
• People-first leadership style, including direct feedback, career development, and relationship-building with technical and non-technical partners.
• Deep hands-on expertise in batch and streaming data infrastructure, including warehousing, pipelines, orchestration, event streaming, and change data capture.
• Understanding of distributed log systems, including partitioning, delivery guarantees, and backpressure.
• Experience owning systems with significant business or financial impact while improving reliability, scalability, security, and cost.
• Strong hiring experience and the ability to identify exceptional talent.
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and experience.
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.

Preferred Experience

• 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 at high scale.
• Multi-cloud or multi-region data platforms using GCP, AWS, or Azure, including data-residency requirements.
• Data infrastructure at AI or ML-intensive companies, including financial or billing data, model training, evaluation, or safety workflows.
• Observability or monitoring for data systems at scale.
• High-growth environments where data infrastructure evolved rapidly with the business.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration. Staff are currently expected to work from one of the company’s offices at least 25% of the time, although some roles may require more office time. Anthropic explicitly states that it sponsors visas and will make every reasonable effort to assist with visa applications, using an immigration lawyer.

Compensation

Annual salary: $405,000–$485,000 USD.