About this opportunity
Anthropic lists this Engineering Manager (Data Infrastructure) opportunity in new york city, New York. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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. Every org is your customer
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
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
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
Benefits
Comprehensive health, dental, and vision insurance for you and your dependents
Inclusive fertility benefits via Carrot Fertility
22 weeks of paid parental leave
Flexible paid time off and absence policies
Mental health support for you and your dependents
Competitive salary and equity packages
Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
Retirement plans with competitive matching
Life and income protection plans
$500/month flexible wellness and time saver stipend
Commuter benefits
Annual education stipend
Home office stipends
Relocation support for those moving for Anthropic
Daily meals and snacks in the office
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
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
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Worksite address
new york city, NY, 10261, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.