San Francisco, United States
You apply directly with the employer. We never charge applicants.
$205K–$270K/yr
Published by the employer
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.
We are looking for a Finance & Strategy (FP&A) Systems Engineer to join our Finance Systems team at Anthropic. In this role, you will be responsible for building and maintaining platforms that support our core Financial Planning, Forecasting and Analytics processes. You will bring deep hands-on expertise in EPM platforms like Anaplan, Pigment and data platforms like BigQuery, who writes integrations, tooling, and production code that connect them to Anthropic’s ERP and data warehouse systems. You'll work closely with Corporate Finance & strategy stakeholders to translate business requirements into innovative technical solutions, maintain data integrity, and drive continuous improvements to our financial systems infrastructure.
You'll manage day-to-day Finance system operations, support critical financial processes and monthly Forecasting cycles, and take on more ambitious system projects over time, including using Claude to automate FP&A work, help build scalable solutions that enable efficient financial planning, forecasting, and reporting as we continue to grow.
Serve as a primary system administrator for our financial planning platform (Pigment), maintaining system health and optimal performance
Manage Finance applications, data, user access & security, system configurations, version management to ensure appropriate controls and governance.
Provide technical support and troubleshooting for end-users, resolving issues and answering system-related questions
Design, build, and maintain applications, Financial models and workflows with in-house tools and EPM platform like Pigment to support financial planning, budgeting, forecasting, and reporting processes
Develop and maintain secure dataflows, integrations using Rest APIs to connect FP&A platforms, data warehouse with enterprise systems (e.g., Workday Financials, Salesforce CRM, etc.)
Develop SQL-based data models, ETL pipelines, and reporting infrastructure to support financial close, forecasting, and business intelligence.
Partner with Finance & Strategy (FP&A), Accounting, and other Finance teams to understand business problems and use AI tools to build cutting edge solutions
Support Monthly Forecast, Annual & Long Range planning, Workforce planning, OPEX Forecasting, Balance Sheet & Cash flow forecasting processes.
Identify and implement process and Finance platform improvements.
Participate in testing and validation of system changes, ensuring accuracy and reliability
Assist with training and onboarding of new system users
Ensure the accuracy and integrity of financial data across systems
Develop and maintain data validation rules and quality checks
Troubleshoot data discrepancies and work with relevant teams to resolve issues
Support data migration and transformation activities as needed
Have 8+ years of experience in FP&A systems - EPM platforms, Finance data warehouse, with a focus on financial planning, forecasting and analysis.
Have hands-on experience administering and developing solutions in enterprise planning platforms (e.g., Pigment, Anaplan, Adaptive Planning, or similar EPM tools)
Possess strong engineering and technical skills including advanced SQL and data modeling skills, creating and maintaining system integrations and data pipelines.
Have demonstrated ability to translate business requirements into technical specifications and system designs.
Have a strong understanding of FP&A processes, financial reporting, and accounting principles
Techno-functional: you're someone who is a CFA but also a hands on developer.
Experience owning changes inside a shared production codebase alongside a product engineering team
Warehouse and analytics-engineering skills such as dbt, BigQuery, or comparable
Experience building robust Finance applications with LLMs
Knowledge of programming or scripting languages (Python, JavaScript, etc.)
Experience with Financial planning & analysis (CFA), experience with pre-IPO companies, supporting rapid growth and scaling financial systems accordingly.
Understanding of financial data security and compliance requirements
Certification in relevant planning platforms (e.g., Pigment, Anaplan Model Builder)
Project management skills and experience leading system implementation workstreams
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.
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.
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.
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.