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Finance & Strategy, Compute Infrastructure

San Francisco, CA | New York City, NY

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

We are seeking a Strategic Finance Lead to provide finance leadership for our infrastructure investments. In this role, you will be a key partner to our infrastructure engineering teams, providing financial expertise and guidance to optimize our infrastructure investments and drive strategic decision-making.

As we scale our footprint significantly, you will play a crucial role developing financial models for long term infrastructure projects and network expansion, providing insights to optimize our resources, and planning for future capacity needs. This role will work closely with cross-functional teams and collaborate with other members of the finance organization to align our infrastructure investment strategy with broader financial considerations.

Responsibilities:

Strategic Infrastructure Planning & Analysis

  • Own and develop infrastructure capacity forecasts and scenario planning for infrastructure growth
  • Lead strategic financial analysis for infrastructure expansion initiatives
  • Lead ROI analysis for infrastructure investments and optimization projects
  • Develop comprehensive financial models for infrastructure deployment scenarios

Infrastructure Financial Planning & Analysis

  • Own FP&A for all infrastructure investments including datacenter facilities, power infrastructure, and network connectivity
  • Lead efficiency optimization initiatives for infrastructure resources
  • Develop long range forecast models and cost driver analyses for infrastructure CAPEX and OPEX
  • Partner on infrastructure vendor negotiations and lead cost analysis across infrastructure spend, including build-vs-rent decisions
  • Maintain deep expertise on datacenter economics, infrastructure contract terms, and optimization opportunities
  • Partner with Accounting, Core Infrastructure, and Engineering on contract operationalization and compliance
  • Establish and lead cadenced infrastructure investment reviews and decision frameworks, tracking spend vs. budget and implementing driver-based variance analysis

You may be a good fit if you have:

  • 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
  • Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
  • Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
  • Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
  • Proven track record of partnering with technical teams to drive financial optimization initiatives
  • Excitement about working in a fast-paced, dynamic environment and adapt well to change
  • Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
  • Strong relationship building, business judgment, process management, and communication skills
  • Are passionate about Anthropic's mission to build safe, transformative AI systems
  • Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc

Strong candidates may also have:

  • 3+ years of experience specifically in cloud infrastructure financial management
  • Experience working directly with major cloud service providers (AWS, GCP, Azure)
  • MBA or other advanced degree in finance, economics, or business
  • Deep expertise in cloud service provider economics, contract structures, and pricing models
  • Experience with chip architecture economics and optimization strategies
  • Proficiency with financial modeling tools and languages (SQL, Python, Excel)

The expected salary range for this position is:

Annual Salary:

$235,000 - $310,000 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. 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.

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

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