Anthropic
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Engineering Manager, Capacity
role at
Anthropic
Overview About Anthropic: Anthropic’s 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’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 Some Of The Following
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
Compensation and Benefits 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
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. Some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas. 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. We think AI systems like the ones we’re building have enormous social and ethical implications, making diverse perspectives on our team important.
How We're 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. We value impact — advancing our long-term goals of steerable, trustworthy AI — and we encourage collaboration, strong communication, and a willingness to pursue the highest-impact work at any given time.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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.
#J-18808-Ljbffr
Engineering Manager, Capacity
role at
Anthropic
Overview About Anthropic: Anthropic’s 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’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 Some Of The Following
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
Compensation and Benefits 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
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. Some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas. 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. We think AI systems like the ones we’re building have enormous social and ethical implications, making diverse perspectives on our team important.
How We're 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. We value impact — advancing our long-term goals of steerable, trustworthy AI — and we encourage collaboration, strong communication, and a willingness to pursue the highest-impact work at any given time.
Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.
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.
#J-18808-Ljbffr