Compute Analyst
Listed on 2026-02-02
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IT/Tech
Data Scientist, Data Analyst, AI Engineer
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.
AboutThe 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.
- 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 ability to thrive in fast paced environments.
- Excellent communication skills and ability to effectively engage with both technical and non‑technical stakeholders.
- Attention to detail and a passion for correctness.
$270,000—$290,000 USD
LogisticsEducation 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 do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But 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. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.
We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from email addresses. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit directly for confirmed position openings.
How We're DifferentWe 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…
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