Data Center Supply Planning Lead
AnthropicAbout 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 is rapidly scaling our compute infrastructure across a portfolio of datacenter builds with multiple developer partnerships. The Data Center Planning team owns the integrated view of that supply: compute allocation, decision locks, delivery progress, as well as the frameworks and tooling that underpin all of it.
We’re looking for a versatile Data Center Supply Planning Lead to help build and drive the plan for data center delivery. This role has a broad view of the portfolio: you will drive the supply model that ties our accelerator/compute supply and capacity targets to the site pipeline, use it to prioritize which opportunities we pursue and how we configure them, and turn the reasoning into principles as the portfolio grows. You will also have a deep understanding of our active sites, and will build supply forecasts that our partners mobilize against and our internal teams rely on. This is a highly cross-functional role that will work closely with our deal, design, engineering, delivery, and demand planning teams to drive the framework and processes that move sites to operational readiness.
Responsibilities
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Build the integrated data center supply forecast and planning assumptions behind it: committed plus pipeline supply - by site, design, accelerator type, and tranche - against growth targets
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Support and evolve data center portfolio reviews that ground our teams on the current state of supply, decisions needed, and their downstream impacts
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Partner with technical program management, delivery, and demand planning teams so that hall readiness, install plans, and chip supply stay in sync as any of the three moves
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Build and run scenarios: assess what happens to the plan if a delivery date, chip tranche, or a target changes; and develop solvers that recommend how to close gaps
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Plan for the long-lead resources we should hold in inventory to create optionality and how they should be allocated strategically
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Shape the process by which a new site enters delivery tracking, and the change-management process by which a date change flows to downstream teams
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Support the buildout of a delivery planning system-of-record; partner with our internal tooling team on the build
You may be a good fit if you
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Have led supply/capacity planning or portfolio management for data centers, power, or similar capital-intensive infrastructure
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Have architected supply planning processes and driven their cadence with continuous improvement
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Have redesigned a delivery or deployment process at scale and can point to what it improved
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Know the full data center buildout lifecycle, from acquisition, design, and sourcing through construction, commissioning, and deployment
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Have built planning models/tools with the goal of automation, while leveraging AI-assisted development
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Proactively surface opportunities and risk across functions and drive resolution
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Have a track record of driving outcomes through influence with cross-functional partners
Strong candidates may also have
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Capacity planning, S&OP, or deployment planning experience at a hyperscaler or large industrial operator
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Supply chain, operations research, or optimization background (e.g. allocation, scheduling, design)
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Experience defining requirements for, and standing up, an internal planning system-of-record
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Published detailed forecasts that outside partners plan against
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.
Logistics
Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
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 @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. 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 anthropic.com/careers directly for confirmed position openings.
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.
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 lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.