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
- As a technical analyst on the Compute Capacity Strategy & Operations team, you will lead observability and tooling work to help the Capacity Strategy & Operations make planning decisions and create tools to ensure that the team is able to efficiently and effectively scale. You will collaborate closely with our Capacity Efficiency Engineering, Infrastructure, and Finance & Strategy teams to optimize resource utilization and create a best-in-class customer experience for Anthropic’s users.
- Responsibilities:
- Develop self-service tools and processes to enable various teams to understand their capacity, efficiency, and costs
- Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes
- Execute and maintain capacity planning models, collaborating with data science and finance teams to ensure accurate forecasting
- Support the creation of regular capacity forecasts and quarterly planning processes
- Build tools to support the rapid scaling of our Capacity Strategy & Operations function
- Develop self-service tools and processes to enable various teams to understand their capacity, efficiency, and costs
- Design, develop, and lead necessary automation to help capacity plan for both near and long term outcomes
- Execute and maintain capacity planning models, collaborating with data science and finance teams to ensure accurate forecasting
- Support the creation of regular capacity forecasts and quarterly planning processes
- Build tools to support the rapid scaling of our Capacity Strategy & Operations function
- You might be a good fit if you have:
- 5+ years experience in Infrastructure data science or capacity engineering
- Experience in scripting and building automation tools
- Strong analytical skills, and a data-driven, commercially minded approach to solving problems
- Intermediate knowledge of various public cloud providers
- Self-discipline and you thrive in fast paced environments
- Excellent communication skills and can effectively engage with both technical and non-technical stakeholders
- Attention to detail and a passion for correctness
- 5+ years experience in Infrastructure data science or capacity engineering
- Experience in scripting and building automation tools
- Strong analytical skills, and a data-driven, commercially minded approach to solving problems
- Intermediate knowledge of various public cloud providers
- Self-discipline and you thrive in fast paced environments
- Excellent communication skills and can effectively engage with both technical and non-technical stakeholders
- Attention to detail and a passion for correctness
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
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. 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. We're 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.
