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- Design, develop, and deliver capacity management systems for AI workloads on heterogeneous infrastructure.
- Build and maintain robust attribution of usage and enable in-depth data-driven insights that are actionable.
- Build a deep understanding of research and training workloads to accurately forecast infrastructure needs.
- Oversee design and implementation of forecasting tools and software systems for managing billions of dollars in spend.
- Proactively identify efficiency opportunities and collaborate with teams across the org to increase effective capacity for Anthropic.
- Partner closely with Finance and leadership, providing detailed and clear capacity inputs for financial planning and strategic decision making.
- Have experience managing $XXXM to $XB in infrastructure spend.
- Have experience working with public clouds (AWS, GCP, Azure, etc.) and/or hybrid on-prem, cloud environments.
- Have experience setting up capacity management systems that scale with growing organizations.
- Are comfortable leveraging data and have experience building observability for complex systems.
- Have strong interpersonal skills that enable you to influence and build cross-organizational support for capacity initiatives.
- Have familiarity with LLMs and a deep interest in learning more about research and model training workloads.
- Past experience managing capacity for AI research and production workloads.
- Past experience partnering with senior leadership, both technical and non-technical, to drive company-level reporting and decision making.
Engineering Manager, Capacity - San Francisco, CA - Menlo Ventures
Description
About Menlo Ventures' Investment OpportunityMenlo Ventures' investment focus is on technology-enabled businesses with significant growth potential.
About Anthropic's Mission
Anthropic's mission is to create reliable, interpretable, and steerable AI systems that benefit society.
About the Role
Anthropic's Capacity team seeks an Engineering Manager to oversee cloud spend across a multi-cloud environment.
Responsibilities
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.
Annual Salary: $365,000 — $565,000 USD
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