Job Details

About the role

Anthropic's Capacity team is looking for an Engineering Manager to own and manage cloud spend across a massively scaled, multi-cloud environment. You'll work closely with research, engineering, and finance teams to ensure we have scalable systems for capacity management, high-quality data and insights for planning, and engineering roadmaps that deliver efficiency wins.

Responsibilities

• 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

You may be a good fit if you

• 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

Strong candidates may also have

• 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

The base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

$365,000 - $565,000 USD

Logistics

Education requirements: We require at least a Bachelor's 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 sponsor visas. If we make you an offer, we will make reasonable efforts to obtain a visa and may retain an immigration lawyer to assist.

We encourage you to apply even if you do not meet every single qualification. Not all strong candidates will meet every qualification. We value diverse perspectives and encourage applicants from underrepresented groups to apply.

How we're different

We believe high-impact AI research is big science. We work as a single cohesive team on a few large-scale research efforts and value impact—advancing long-term goals of steerable, trustworthy AI. We are highly collaborative and value strong communication skills. Our research directions include topics such as 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 collaborative office space.