Finance Systems (FP&A) Lead

Finance Systems (FP&A) Lead

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 an experienced FP&A Systems Lead to serve as the primary administrator and developer for our Enterprise Performance Management (EPM) systems. In this individual contributor role, you will personally develop, maintain, and optimize sophisticated solutions that support our financial planning, budgeting, forecasting, and reporting processes. This position requires someone who excels at hands-on systems administration and development while contributing technical architecting expertise to support complex business requirements.

As our EPM platform administrator, you will own the day-to-day operations of mission-critical enterprise planning and analytics systems that support full-year budgeting, daily / monthly / quarterly forecasting, long-range modeling, management reporting, performance measurement, and earnings support. You will work closely with the Finance BI and Analytics team to implement advanced data strategies and reporting frameworks that support our rapid growth and complex business needs.

Responsibilities :

Systems Administration and Development

• Serve as the primary administrator for our EPM system (Pigment), ensuring optimal functionality, performance, and reliability through daily operational oversight
• Develop, maintain, and enhance EPM models to support comprehensive financial planning, budgeting, forecasting, and reporting processes
• Execute hands-on development of planning and analytics solutions for various business units, focusing on quick and scalable implementations
• Ensure the integrity and accuracy of data within EPM systems through systematic monitoring, validation, and quality control processes
• Manage financial data integrations across Pigment, NetSuite, and other source systems, ensuring seamless data flow and consistency
• Provide ongoing system maintenance, updates, and performance optimization to support growing user base and data volumes
• Develop and maintain comprehensive system documentation, including technical specifications, user guides, and operational procedures

Technical Integration and Data Management

Advanced Planning and Analytics Development

User Support and Stakeholder Collaboration

System Architecture Support

You May Be a Good Fit If You :

Strong Candidates May Have :

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