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 seeking a Head of Accounting & Finance Systems to build and lead our finance systems strategy and team. In this role, you will be responsible for developing the strategic vision, architecture, and implementation roadmap for all finance and accounting systems as we scale. You will establish and lead a team focused on evaluating, implementing, integrating, and maintaining complex financial systems that support our growth trajectory. You will partner with senior leadership to ensure our systems architecture meets the highest standards of security, scalability, and SOX compliance. This is a unique opportunity to build a function from the ground up at one of the world's most innovative AI companies.
Responsibilities:
- Develop and execute a comprehensive vision and strategy for Anthropic's finance and accounting systems infrastructure, ensuring alignment with business objectives and scalable for hyper-growth
- Build and lead a high-performing Finance Systems team, establishing team mission, goals, and organizational structure
- Lead the evaluation, selection, and implementation of next-generation finance systems, including potential ERP, Order-to-Cash, Procure-to-Pay, Tax, and Treasury systems
- Design and implement robust financial system architecture to ensure SOX compliance, data integrity, security, and operational efficiency
- Partner with Data Infrastructure teams to establish finance data warehousing strategy and architecture that enables advanced reporting and analytics
- Oversee system integrations across the finance technology stack, ensuring seamless data flow and process automation
- Develop and maintain documentation for finance systems architecture, including security controls, data governance standards, and disaster recovery procedures
- Establish vendor relationships and strategic partnerships to optimize our technology investments
- Build and foster cross-functional relationships with IT, Security, Engineering, and business stakeholders
- Create and execute roadmaps for continuous improvement of finance systems and processes through automation and technology innovation
- Establish key performance indicators to measure the success and ROI of finance systems initiatives
- Act as the primary system owner for all finance applications and lead executive-level presentations on system strategy
You may be a good fit if you have:
- 15+ years of progressive experience in Finance/Accounting Systems with at least 5 years in a leadership capacity
- Extensive experience leading ERP implementations and/or migrations at scale (Oracle, SAP, NetSuite)
- Deep knowledge of finance and accounting processes, including Order-to-Cash, Procure-to-Pay, General Ledger, and financial reporting
- Proven track record of establishing SOX compliant financial system controls and successfully navigating SOX audits
- Experience building and scaling a finance systems function in high-growth environments
- Strong understanding of data architecture, data warehousing, and finance data models
- Excellent leadership skills with the ability to build and mentor high-performing teams
- Strategic thinking with the ability to translate business needs into technical requirements
- Exceptional communication skills with the ability to present complex technical concepts to executive audiences
- Experience working in a public company environment
Strong candidates may also have:
- CISA, or relevant technical certifications
- MBA or relevant advanced degree
- Experience in SaaS or technology companies with complex revenue models
- Knowledge of AI industry trends and challenges
- Experience with enterprise data governance and master data management
- Understanding of Agile methodologies and software development lifecycles
Deadline to apply:
None. Applications will be reviewed on a rolling basis.
The expected salary range for this position is:
Annual Salary:
$310,000—$365,000 USD
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.
Top Skills
What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
