Finance & Strategy, Compute Accelerator
About the role
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.
Key responsibilities
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
You may be a good fit if you have:
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
Preferred qualifications
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)
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.
Annual Salary:
$190,000—$240,000 USD