Product Finance & Strategy, Monetization

About the role

We are seeking a Finance & Strategy team member to drive two of the most consequential financial workstreams at Anthropic: Model Monetization and Enterprise & Verticals. On one side, you'll own the economics behind how we price and package — spanning list pricing, tiering, and consumption mechanics across our model families. On the other, you'll serve as the Finance & Strategy partner to our Enterprise and Verticals product teams — shaping the business cases, product economics, and investment decisions behind what we build for enterprises and priority industries. Together, these determine how the business world accesses frontier AI..

This is a high-ownership, high-autonomy role for someone who genuinely loves to model and is energized by hard, ambiguous questions. You'll connect token economics, inference and compute costs, and margin to pricing and packaging decisions, and bring that same rigor to enterprise and vertical product investments. We're looking for someone opinionated and decisive, you'll be expected to form a view, defend it with rigorous analysis, and drive it to a decision. A deep, current obsession with AI and a perspective on where the field is heading will make you far more effective here.

If you are passionate about applying financial rigor to the economics of frontier AI, join us in making AI safe and impactful.

Key responsibilities

• Own model monetization end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing and packaging decisions across our model family and API

• Serve as the Finance & Strategy partner to our Enterprise and Verticals product teams, owning the financial lens on what we build for enterprises and priority industries

• Build the business cases behind enterprise and vertical product investments: size opportunities, model product economics and pricing, and evaluate the return on competing roadmap bets

• Partner cross-functionally with product, go-to-market, and compute stakeholders to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, translating analysis into clear, opinionated recommendations

• Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform monetization and product strategy

• Track the competitive and market landscape for AI monetization and enterprise adoption, bringing an outside-in view that sharpens our own strategy

• Form and defend a point of view on monetization and product investment decisions, delivering clear, concise analyses that drive to resolution with executives and cross-functional partners

• Collaborate with finance, FP&A, and accounting counterparts to ensure decisions are consistent with broader financial strategy and reporting

• Establish and maintain reporting dashboards that track key pricing, margin, consumption, and product performance metrics

Minimum qualifications

• A background in investment banking, private equity, management consulting, or a comparable analytically rigorous role

• Advanced proficiency in spreadsheet-based financial modeling, with the ability to build and maintain complex operating models from the ground up — and genuine enjoyment of the craft

• Demonstrated ability to take full ownership of a workstream and drive it independently from question to decision

• The judgment and conviction to form an opinion and defend it, paired with the openness to update it as the analysis evolves

• A genuine, current obsession with AI — you follow the field closely and have a perspective on where it is going

• Ability to communicate complex financial information clearly to non-finance audiences

• Passion for Anthropic's mission to build safe, transformative AI systems

Preferred qualifications

• Experience across investment banking, private equity, growth equity, venture capital, management consulting, strategic finance, or product finance

• Operating experience inside a company, not solely in an advisory or investing seat

• Direct experience owning pricing, packaging, or monetization strategy — for example, setting or revising list prices, designing tiering and packaging, running pricing research, or measuring the impact of pricing changes

• Experience partnering with a product organization on business cases, investment decisions, or roadmap prioritization

• Experience with usage-based, API, or developer platform pricing, or other consumption-based business models

• Knowledge of and interest in cloud computing infrastructure and compute economics

• Proficiency in SQL