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About the Role
Anthropic is seeking an Engineering Manager to lead and scale the Data Warehouse & Streaming Infra team. This role involves owning the data platform that underpins the company's operations, decision-making, and safety systems. The manager will guide the team in enhancing the speed, robustness, and future-readiness of the data stack amidst rapid growth and increasing real-time data streams across multiple clouds. This high-visibility position requires strong technical judgment and people skills, partnering with various leaders to meet needs and grow the team.
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, 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.
Requirements
- 3+ years of engineering management experience, with a track record of building and leading high-performing data infrastructure teams.
- 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.
- 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.
- Experience owning systems with significant business or financial impact, and shipping 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.
- Bachelor’s degree or an equivalent combination of education, training, and/or experience.
- A field relevant to the role as demonstrated through coursework, training, or professional experience.
- Years of experience required will correlate with the internal job level requirements for the position.
Skills
- BigQuery
- Snowflake
- Iceberg
- Spark
- dbt
- Airflow
- Kafka
- Pub/Sub
- Flink
- Debezium
- Multi-cloud (GCP, AWS, Azure)
- 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 to keep pace with the business
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 3+ years of engineering management experience
Education Level
- Bachelor’s degree or equivalent combination of education, training, and/or experience
Salary/Compensations
- $405,000—$485,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems, ensuring AI is safe and beneficial for users and society.
- The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders.
- We believe that the highest-impact AI research will be big science, working as a single cohesive team on large-scale research efforts.
- We value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles.
- We view AI research as an empirical science, with connections to physics and biology.
- We're an extremely collaborative group, hosting frequent research discussions to pursue high-impact work.
- We greatly value communication skills.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- We encourage you to apply even if you do not believe you meet every single qualification.
- Not all strong candidates will meet every single qualification as listed.
- We think AI systems like the ones we're building have enormous social and ethical implications, making representation even more important.
- We strive to include a range of diverse perspectives on our team.
- Your safety matters to us. Anthropic recruiters only contact you from @anthropic.com email addresses.
- Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day.
- If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.