Product Finance, Inference Capacity Lead

Anthropic•San Francisco, CA

4d•$235,000 - $310,000•Hybrid

About The Position

Anthropic is seeking a Product Finance, Inference Capacity Lead to join its Finance team. This role will be a key partner to product, engineering, and go-to-market teams, offering financial expertise to support strategic decisions. The position is crucial for analyzing financial data, building financial models, and providing insights for business decisions related to inference infrastructure, a significant P&L item. The role involves close collaboration with senior Compute, Product, and GTM stakeholders, as well as other finance team members, to align product and inference strategies with financial considerations. The ideal candidate will be passionate about optimizing inference capacity's impact on growth potential and developing novel unit economic metrics. This is an opportunity to leverage financial acumen to support innovation and drive business success in a cutting-edge AI company.

Requirements

Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex and detailed financial operating models
Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges
Comfort working cross-functionally with senior engineering leaders, technical teams, and are adept at communicating complex financial information to both technical and non-finance audiences
Excitement about working 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
Passion for optimizing and driving clarity into major cost centers and P&L line items
Are passionate about Anthropic's mission to build safe, transformative AI systems

Nice To Haves

8+ years of experience across strategic finance, product finance, compute finance, investment banking, private equity, and growth equity
A combination of 5+ years in strategic finance, paired with several years prior across investment banking, private equity, or growth equity
Direct experience and strong interest in AI infrastructure
Background in AI, ML, or related technologies
Experience creating and scaling novel unit economic metrics and frameworks
Experience with consumption based and/or complex business models

Responsibilities

Provide expert guidance, recommendations, and influence to product, engineering, and go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials
Partner cross-functionally with senior engineering leaders and technical teams to drive detailed financial modeling and analysis, building sophisticated models to optimize inference infrastructure costs and performance
Lead the creation and scaling of novel unit economic metrics for the business, including LTV, contribution margin, and other key performance indicators that enable data-driven decision-making
Drive optimization initiatives and provide clarity into inference infrastructure costs, working to maximize efficiency of one of our largest P&L line items
Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as pricing and packaging, business expansion, and defining new unit economic frameworks
Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives
Collaborate with other members of Finance & Strategy and accounting counterparts, helping to align product and inference strategies with broader financial considerations
Establish and implement reporting dashboards and scorecards to track key operational and financial metrics