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Infrastructure Accounting

San Francisco, CA

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 looking for an Infrastructure Accounting professional to join our Accounting team. In this role, you will oversee the financial accounting and reporting for all costs and accounting matters related to cloud infrastructure. You will work cross-functionally across the organization to drive process improvements and provide financial insights that support strategic decision-making. If you are looking for an opportunity to make a significant impact on the financial infrastructure of an innovative AI company, come join us in our mission to build cutting-edge, safe AI.

Responsibilities:

  • Own end-to-end financial accounting and reporting for compute and infrastructure costs, ensuring accurate allocation between Cost of Revenue and OpEx
  • Ensure timely month-end and quarter-end accounting
  • Drive improvements in data quality by working cross-functionally with internal and external stakeholders
  • Partner cross-functionally to drive analysis and build financial models to inform decisions around compute capacity planning, efficiency initiatives, and cost optimization
  • Build scalable processes to support rapid growth while maintaining strong controls
  • Collaborate with engineering and infrastructure teams to understand technical requirements and translate them into financial implications
  • Partner with technical accounting teams to assess large compute expenditures for proper classification as capital expenditures or leases, ensuring compliance with financial reporting requirements
  • Develop scalable operational processes to execute these classifications efficiently in a high-growth environment
  • Collaborate with business partners to provide financial insights that inform strategic decision-making
  • Serve as the primary liaison with external auditors for compute and infrastructure costs
  • Assist in the preparation of financial reports, supporting schedules, and management presentations
  • Identify opportunities for process automation and implement solutions where possible
  • Partner with technical teams to gain deep understanding of compute infrastructure investments

You may be a good fit if you:

  • Have 10+ years of progressive experience in accounting, with operational experience in technology companies
  • Hold a Bachelor's degree in Accounting or Finance, CPA or equivalent preferred
  • Have experience with data analysis and complex infrastructure subject matter
  • Have experience working in a fast-paced startup environment
  • Have a builder mindset that enjoys turning messy or ambiguous workflows into streamlined processes
  • Exhibit strong organizational and analytical abilities
  • Possess exceptional attention to detail and commitment to accuracy
  • Are proficient in financial systems and data visualization tools
  • Have the ability to translate technical concepts into financial implications
  • Demonstrate excellent interpersonal skills and ability to communicate effectively

Strong candidates may also:

  • Have SQL skills for querying, analyzing, and reporting on large compute cost datasets
  • Have an understanding of technical accounting concepts including ASC 842
  • Be comfortable with handling ambiguity and working with minimal supervision
  • Show genuine curiosity about technology and artificial intelligence
  • Take ownership of projects and drive them to completion independently
  • Demonstrated proficiency with AI-assisted tools and chatbots for automating routine accounting tasks, enhancing data analysis, and optimizing financial reporting workflows
  • Excel at cross-functional collaboration and building relationships across the organization
  • Display a passion for continuous learning and process improvement

The expected salary range for this position is:

Annual Salary:

$230,000 - $300,000 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.

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