# Engineering Manager, Data Infrastructure

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $405,000-$485,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5426135008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9daa7e86-54c

## Description

Anthropic is looking for an Engineering Manager to lead and scale its Data Warehouse & Streaming Infra team. The successful candidate will own the data platform that Anthropic runs on, which is the foundation every team relies on to understand the business, make decisions, and keep systems safe.

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, including user experience, operations, reliability, security, governance, cost, and long-term strategic vision.

- Support the team to scale and evolve 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.

- 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 clear awareness of cost, capacity, reliability, and long-term maintainability tradeoffs.

- Align the broader Infrastructure organisation on a common direction for shared platforms, tooling, and best practices across Anthropic's data stack.

Requirements:

- 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams.

- People-first leadership style, with experience giving direct feedback, growing engineers' careers, and building trust with technical and non-technical partners.

- Deep, hands-on expertise in both batch and streaming data infrastructure.

- Experience owning systems with significant business or financial impact, and shipping at speed while improving reliability, scalability, security, and cost.

- Excellent hiring skills, with experience building teams from small to large.

Strong candidates may also have experience with:

- 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.

- Multi-cloud or multi-region data platforms.

- Data infrastructure at AI or ML-intensive companies.

- Building and operating observability or monitoring for data systems at scale.

- Working in high-growth environments where data infrastructure had to evolve rapidly.

The annual compensation range for this role is $405,000-$485,000 USD.

## Skills

### Required
- data warehousing
- streaming data infrastructure
- engineering management
- leadership
- data infrastructure

### Nice to have
- BigQuery
- Snowflake
- Iceberg
- Spark
- dbt
- Airflow
- Kafka
- Pub/Sub
- Flink
- Debezium
- multi-cloud
- data infrastructure at AI or ML-intensive companies

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5426135008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)