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About the Role
Anthropic's Non-Financial Reporting team owns mandatory disclosures. This role involves owning cross-functional mechanisms to understand reporting implications of compute build-out, building data management processes, driving disclosure strategy, and developing a repeatable approach for customer queries. You will help define how the impact of frontier AI gets measured, disclosed, and verified.
Responsibilities
- Develop and own internal mechanisms to track and resolve open questions on leases, capex, and other changes to company footprint, ensuring alignment between financial and non-financial reporting.
- Prepare mandatory disclosure filings (EU CSRD, AU ASRS, etc.) and successor regimes, and develop risk assessment methodologies for compliance.
- Own corporate reporting on non-financial metrics including carbon, energy, and water.
- Ensure non-financial reporting is assurance-ready by designing controls, documentation, and tech systems to financial reporting standards, and manage external assurance processes.
- Assist in developing disclosure strategy and governance in partnership with legal, communications, and policy teams, assessing the reporting landscape and setting voluntary disclosure posture.
- Develop a scalable process for responding to customer requests, maintaining an answer library, meeting Sales SLAs, and owning the methodology for customer-level reporting.
Requirements
- Deep working knowledge of mandatory reporting standards.
- Experience building a data management plan, documenting methodology choices, and defending them to auditors or assurance providers.
- Experience with 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 and the ability to partner with financial accounting teams.
- 10+ years in reporting experience, owning regulatory reporting deliverables end-to-end (mandatory corporate disclosures, voluntary frameworks, or customer-facing reporting).
- CPA and sustainability reporting credential (FSA Credential, GRI Professional, or similar).
- 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 skills.
Skills
- Reporting
- Data Management
- Disclosure Strategy
- Customer Query Response
- Non-Financial Metrics Reporting
- Assurance Readiness
- Risk Assessment
- Cloud Accounting
- Data Center Accounting
- Financial Accounting
- Written Communication
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 10+ years
Education Level
- Bachelor's degree or equivalent combination of education, training, and/or experience
- Masters degree in accounting, finance, environmental science, engineering, sustainability, or a related quantitative field — or equivalent practical experience
Salary/Compensations
- $230,000—$300,000 USD
Benefits
- Competitive compensation
- Benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space
About the Company
- Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society.
- The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders.
- Anthropic believes that the highest-impact AI research will be big science, working as a single cohesive team on large-scale research efforts.
- The company values impact and advancing long-term goals of steerable, trustworthy AI.
- AI research is viewed as an empirical science with aspects of physics, biology, and computer science.
- The company is collaborative, hosting frequent research discussions to pursue high-impact work.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.
- We think AI systems like the ones we're building have enormous social and ethical implications, making representation even more important.
- We strive to include a range of diverse perspectives on our team.