Engineering Manager, Data Infrastructure

The shape of it

In the posting’s own words

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 large team. We're looking for someone who is comfortable with ambiguity, energized by both business and technical impact, and cares deeply about people.

What it asks for · 5

• Have 3+ years of engineering management experience, with a track record of 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 alike, while staying steady and principled as priorities shift, knowing when to move fast and when to do it right
• 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
• Have owned systems with significant business or financial impact, and shipped at speed while improving reliability, scalability, security, and cost
• Excel at hiring — you've built teams from small to large, and have sharp instincts for identifying exceptional talent

Also a plus

• 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

What the job covers

• 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: "wow" user experience, ops, reliability/security/governance/cost, long-term strategic vision
• Support the team to scale and evolve our data ingestion, event streaming, change data capture, storage, orchestration, compute, query, and reporting systems at pace with business growth
• Collaborate to define and execute the roadmap for Anthropic's 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, grounded in clear models of throughput, cost, and operational burden
• 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 who thrive in high-growth, high-trust environments
• Establish data quality standards, freshness and delivery SLAs, and operational processes that guide engineers and users through our high-change environment
• Ensure sound infrastructure investment decisions with clear awareness of cost, capacity, reliability, and long-term maintainability tradeoffs
• Align the broader Infrastructure org on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack

Tools and skills named

Words the posting leans on

• data41×
• streaming17×
• data infrastructure12×
• systems11×
• business10×
• engineering8×
• decisions7×
• platforms7×
• scale7×
• batch6×
• change data6×
• cost6×
• data capture6×
• engineers6×
• grow6×
• experience5×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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