Engineering Manager, Data Infrastructure en Anthropic

Híbrido - San Francisco, CA; New York City, NY

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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. 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.

Salary

USD 405,000 - 485,000

Requirements

Skills

  • 3+ years of engineering management experience
  • Track record of building and leading high-performing data infrastructure teams
  • People-first leadership style with direct feedback and career growth focus
  • Hands-on expertise in batch and streaming data infrastructure, including warehousing, pipelines, orchestration, event streaming, and change data capture
  • Experience owning systems with significant business or financial impact, shipping at speed while improving reliability, scalability, security, and cost
  • Strong hiring experience, building teams from small to large and identifying exceptional talent
  • Bachelor’s degree or equivalent combination of education, training, and/or experience
  • Knowledge of BigQuery, Snowflake, Iceberg, Spark, dbt, or Airflow
  • Experience with Kafka, Pub/Sub, Flink, or Debezium at high scale
  • Multi-cloud (GCP, AWS, Azure) or multi-region data platform experience
  • Experience in AI or ML-intensive companies serving customer pipelines for financial/billing data, model training, evaluation, or safety workflows
  • Ability to build observability or monitoring for data systems at scale
  • Adaptability to high-growth environments where infrastructure evolves rapidly

Responsibilities

  • 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 wow user experience, ops, reliability, security, governance, and cost
  • Support the team to scale and evolve data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems
  • Collaborate to define and execute the roadmap for batch and streaming data infrastructure, balancing immediate business needs with durable, scalable design
  • Lead key platform decisions for the streaming backbone, such as managed versus self-operated Kafka
  • Partner closely across Finance, Product, Research, and Engineering to ensure data systems directly 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
  • Ensure sound infrastructure investment decisions with awareness of cost, capacity, reliability, and long-term maintainability
  • Align the broader Infrastructure org on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack

Technologies

BigQuerySnowflakeIcebergSparkdbtAirflowKafkaPub/SubFlinkDebeziumGCPAWSAzure

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