Engineering Manager Data Warehouse Infrastructure

About Anthropic

Anthropics mission is to create reliable interpretable and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers engineers policy experts and business leaders working together to build beneficial AI systems.

About the role

Anthropic is looking for an Engineering Manager to lead and scale our Data Warehouse Infra team. Youll own the stack that powers Anthropics business understanding: Every org is your customer and your team enables coworkers to view and improve current state by applying complex business logic to massive datasets at speed. Youll take that stack to the next level supporting engineers to add new capabilities and make everything even more robust and bulletproof while handling rapidly increasing load. Youll work across the company to define and drive the long-term vision for how data flows through one of the fastest-growing companies ever.

This is a high-visibility high-impact role. Your work will require top-notch people skills and cross-functional collaboration as well as deep technical experience and judgment across both infrastructure and data science/analytics. You wont just execute: You and the engineers you support will partner closely with users PMs TPMs and leadership across finance data science product engineering and research to synthesize and consolidate needs and identify and satisfy unmet needs. Were looking for someone who moves comfortably through ambiguity is equally energized by business and technical impact and cares deeply about people. Youll grow a small strong core to a large team advancing initiatives that are critical to the future of responsible useful reliable AI.

Responsibilities

• Lead grow and mentor a Data Warehouse Infra team fostering a culture of ownership collaboration engineering excellence and execution at speed
• Own Anthropics data warehousing 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 storage orchestration compute query and reporting systems at pace with business growth
• Collaborate to define and execute the roadmap for Anthropics offline data infrastructure balancing immediate business needs with durable scalable design
• 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 SLAs and operational processes that guide engineers and users through our high-change environment
• Ensure sound infrastructure investment decisions with clear awareness of cost reliability and long-term maintainability tradeoffs
• Align the broader Infrastructure org on a common direction for shared platforms tooling and best practices across Anthropics data stack

You may be a good fit if you

• Have 3 years of engineering management experience with a track record of building and leading high-performing data infrastructure teams
• Bring deep domain expertise in offline data infrastructure: data warehousing ETL/ELT pipelines workload orchestration batch compute and reporting tooling
• Have owned systems or programs with significant financial impact and you approach infrastructure decisions with a clear understanding of business outcomes
• Have shipped at speed while driving improvements in reliability accuracy scalability security toil reduction and/or cost reduction
• Excel at hiring youve built teams from small to large and have sharp instincts for identifying exceptional talent
• Are a people-first leader who creates psychological safety gives direct and actionable feedback and loves to foster engineer career growth
• Communicate clearly and build trust across technical and non-technical stakeholders
• Are comfortable operating in a fast-moving environment where priorities shift ambiguity is the norm and the ability to pivot quickly while protecting invariants is a must-have
• Take a thoughtful principled impact-driven approach to building infrastructure you know when to run fast and when to take the time to do it right

Strong candidates may also have experience with

• Technologies such as Spark Airflow Dagster dbt EMR/Hadoop/Kubernetes Iceberg Hudi Snowflake BigQuery Redshift or similar data warehousing technologies
• Data infrastructure at AI or ML-intensive companies: youve 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

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

Location-based hybrid policy: Currently we expect all staff to be in one of our offices at least 25% of the time. However some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However we arent able to successfully sponsor visas for every role and every candidate. But if we make you an offer we will make every reasonable effort to get you a visa and we retain an immigration lawyer to help with this.

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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy so we urge you not to exclude yourself prematurely and to submit an application if youre interested in this work. We think AI systems like the ones were building have enormous social and ethical implications. We think this makes representation even more important and we strive to include a range of diverse perspectives on our team.

Your safety matters to us. To protect yourself from potential scams remember that Anthropic recruiters only contact you some cases we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money fees or banking information before your first day. If youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

How were different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And 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 which has as much in common with physics and biology as with traditional efforts in computer science. Were an extremely collaborative group and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic including: GPT-3 Circuit-Based Interpretability Multimodal Neurons Scaling Laws AI & Compute Concrete Problems in AI Safety and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits optional equity donation matching generous vacation and parental leave flexible working hours and a lovely office space in which to collaborate with colleagues. Guidance on Candidates AI Usage:Learn aboutour policyfor using AI in our application process