Financial Modeling Trainer Jobs (NOW HIRING)

We are seeking a Strategic Finance Lead to provide finance leadership for our accelerator investments. In this role, you will be a key partner to our compute teams, providing financial expertise and guidance to optimize our compute investments and drive strategic decision-making.

In this role, you'll develop deep expertise in the economics of AI compute, from the unit economics of individual training runs to the long-range financial planning of our accelerator fleet. You'll build financial models that inform Anthropic's investment decisions, own planning and forecasting processes for major cost centers, and translate complex technical dynamics into clear financial narratives for leadership.

This is a high-impact role for someone who thrives at the intersection of finance and technology, and who is energized by building frameworks from scratch in a fast-moving environment.

• Finance lead for cloud accelerator compute spend, including budgeting, monthly forecasting, variance analysis, and financial plan maintenance
• Build and maintain detailed bottoms-up data-driven financial models for accelerator infrastructure, including long-range forecasts, cost driver analyses, and investment scenario modeling
• Develop deep expertise in compute contracts, pricing structures, and cost drivers, and surface optimization opportunities across our infrastructure
• Serve as subject matter expert for Anthropic's overall compute capacity plan, owning source of truth and plan of record
• Support the implementation and management of financial planning tools (e.g., Pigment), ensuring our models and processes scale with the organization

• Analyze the economics of model training and research compute, including ROI across different dimensions like training run sizes, chip types, data, etc, and distill into actionable framework for capacity planning and deployment
• Partner closely with engineering and research teams to understand how training and reinforcement learning processes scale, and translate those technical dynamics into financial frameworks

• Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
• Extraordinary problem-solving and critical thinking abilities to come up with new frameworks for assessing profitability and capital efficiency in a rapidly evolving industry
• Attention to detail and patience for getting to the source of truth on complex and interconnected underlying financial and legal frameworks 
• Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
• Proven track record of partnering with technical teams to drive financial optimization initiatives
• Excitement about working collaboratively in a fast-paced, dynamic environment and adapt well to change
• Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines
• Strong relationship building, business judgment, process management, and communication skills
• Are passionate about Anthropic's mission to build safe, transformative AI systems
• Are passionate about the effective integration of AI tools to streamline manual finance workflows
• Background in AI, ML, or high-performance, large-scale computing infrastructure, including data centers, cloud service providers, etc

• 7+ years of experience in strategic finance, infrastructure investment, private equity, growth equity, consulting, or investment banking, preferably with infrastructure, datacenter, or technology infrastructure experience
• 3+ years of experience specifically in cloud infrastructure financial management
• Experience working directly with major cloud service providers (AWS, GCP, Azure)
• MBA or other advanced degree in finance, economics, or business
• Deep expertise in cloud service provider economics, contract structures,  and pricing models
• Experience with chip architecture economics and optimization strategies
• Proficiency with financial modeling tools and languages (SQL, Python, Excel)