Anthropic
Overview
Senior Capacity Planner at Anthropic. Join to apply for the Senior Capacity Planner role at Anthropic.
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.
The Role Anthropic’s Compute team is looking for a Senior capacity planner to lead capacity planning and forecasting of our global infrastructure fleet. You’ll work closely with research, engineering, and finance teams to model supply and demand and build capacity allocation plans that help Anthropic stay on the frontier. You’ll also ensure that engineering and model roadmaps stay aligned with the capacity plan (and vice versa) and manage execution against the plan with stakeholders across the organization.
Responsibilities
Design and develop a system for capacity planning that handles fast-changing AI workloads on heterogeneous infrastructure
Own source-of-truth artifacts for capacity planning with reliable actuals and weekly forecasts
Build an in-depth understanding of research and training workloads to increase forecasting accuracy over time
Proactively identify risks and changes to capacity needs early and work with stakeholders to find appropriate solutions
Proactively identify efficiency opportunities and run cross-team initiatives to increase total effective compute for Anthropic
Partner closely with senior leaders, providing detailed and clear capacity plans and inputs for decision making
You May Be a Good Fit If You
Have experience working on capacity planning at a major cloud provider or hyperscaler company
Have experience working with research teams
Have familiarity with or a deep interest in learning about LLM model training and serving efficiency
Have experience driving org-wide technical programs and collaborating with technical stakeholders
Are comfortable navigating ambiguity and distilling uncertainty into actionable scenario planning
Are comfortable leveraging data and making data-driven recommendations
Have strong interpersonal skills that enable you to influence without authority and build cross-organizational support for capacity initiatives
Strong Candidates May Also Have
Past experience with capacity planning for LLM model training and inference
Past experience partnering with senior research and engineering leadership
Representative Projects
Build a week-by-week capacity forecast for H2 ‘25 that incorporates model training plans, inference growth, and key technical constraints
Build a matrix for workload:model:platform support and tracker for engineering workstreams that impact capacity fungibility
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 offices.
Visa sponsorship: We do sponsor visas. If we make you an offer, we will make every reasonable effort to obtain a visa, with support from an immigration lawyer.
We encourage you to apply even if you do not believe you meet every single qualification. We aim to foster a diverse team and welcome applicants from underrepresented groups.
#J-18808-Ljbffr
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.
The Role Anthropic’s Compute team is looking for a Senior capacity planner to lead capacity planning and forecasting of our global infrastructure fleet. You’ll work closely with research, engineering, and finance teams to model supply and demand and build capacity allocation plans that help Anthropic stay on the frontier. You’ll also ensure that engineering and model roadmaps stay aligned with the capacity plan (and vice versa) and manage execution against the plan with stakeholders across the organization.
Responsibilities
Design and develop a system for capacity planning that handles fast-changing AI workloads on heterogeneous infrastructure
Own source-of-truth artifacts for capacity planning with reliable actuals and weekly forecasts
Build an in-depth understanding of research and training workloads to increase forecasting accuracy over time
Proactively identify risks and changes to capacity needs early and work with stakeholders to find appropriate solutions
Proactively identify efficiency opportunities and run cross-team initiatives to increase total effective compute for Anthropic
Partner closely with senior leaders, providing detailed and clear capacity plans and inputs for decision making
You May Be a Good Fit If You
Have experience working on capacity planning at a major cloud provider or hyperscaler company
Have experience working with research teams
Have familiarity with or a deep interest in learning about LLM model training and serving efficiency
Have experience driving org-wide technical programs and collaborating with technical stakeholders
Are comfortable navigating ambiguity and distilling uncertainty into actionable scenario planning
Are comfortable leveraging data and making data-driven recommendations
Have strong interpersonal skills that enable you to influence without authority and build cross-organizational support for capacity initiatives
Strong Candidates May Also Have
Past experience with capacity planning for LLM model training and inference
Past experience partnering with senior research and engineering leadership
Representative Projects
Build a week-by-week capacity forecast for H2 ‘25 that incorporates model training plans, inference growth, and key technical constraints
Build a matrix for workload:model:platform support and tracker for engineering workstreams that impact capacity fungibility
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 offices.
Visa sponsorship: We do sponsor visas. If we make you an offer, we will make every reasonable effort to obtain a visa, with support from an immigration lawyer.
We encourage you to apply even if you do not believe you meet every single qualification. We aim to foster a diverse team and welcome applicants from underrepresented groups.
#J-18808-Ljbffr