- Location
- San Francisco, CA · San Francisco, California, United States
- Workplace
- Onsite
- Department
- Finance
- Seniority
- Senior
- Education
- Master
- Source
- Greenhouse
Description
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
Anthropic's Non-Financial Reporting team owns Anthropic's mandatory mandatory disclosures. In this role, you will own cross functional mechanisms to understand the reporting implications of our compute build out. You will build out data management processes, drive key disclosure strategy decisions, and develop a repeatable approach for responding to customer queries. You will help define how the impact of frontier AI gets measured, disclosed, and verified.
Responsibilities
- Develop and own the internal mechanisms to track and resolve open questions on leases, capex, and other changes to our company footprint, so that financial reporting and non-financial reporting stay aligned.
- Prepare the mandatory disclosure filings (EU CSRD, AU ASRS, etc.) and successor regimes, and develop risk assessment methodologies to enable compliance with these frameworks.
- Own corporate reporting on non-financial metrics including carbon, energy, water and other relevant metrics.
- Ensure our non-financial reporting is assurance-ready: design the controls, documentation, and tech systems to the same standard as our financial reporting, and manage external assurance processes.
- Assist in developing our disclosure strategy and governance in partnership with legal, communications and policy teams: assess the reporting landscape, and set our voluntary disclosure posture (CDP, EcoVadis, customer-facing statements).
- Develop a scalable process for responding to customer requests — maintain the answer library, meet SLAs agreed with Sales, and own the methodology for customer-level reporting.
Minimum qualifications
- Deep working knowledge of mandatory reporting standards and experience building a data management plan, documenting methodology choices, and defending them to auditors or assurance providers.
- Cloud or data-center impact accounting (electricity and energy data, supplier-specific data).
- Proficiency in maintaining non-financial accounting platforms and managing multi-stakeholder data collection.
- Familiarity with financial accounting standards accounting and the ability to partner with financial accounting teams.
Preferred qualifications
- 10+ years in reporting experience: has owned regulatory reporting deliverables end to end — mandatory corporate disclosures, voluntary frameworks, or customer-facing reporting (e.g. CDP, EcoVadis, procurement checklists, or similar).
- CPA, and sustainability reporting credential (FSA Credential, GRI Professional, or similar).
- Masters degree in accounting, finance, environmental science, engineering, sustainability, or a related quantitative field — or equivalent practical experience.
- Assurance experience.
- ISO 14001 experience; public-sector procurement exposure.
- Experience building a repeatable reporting process from scratch and coordinating across Sales, Legal, Comms and Finance; strong written communication.
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.
