Data Science, Finance & Strategy

<div class="content-intro"><h2><strong>About Anthropic</strong></h2> <p>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.</p></div><h2 class="heading"><strong>About the role</strong></h2> <p>Anthropic’s Finance Analytics &amp; Business Intelligence team is hiring a senior individual contributor to own how we measure the value of our models and our position in the market. These are open questions without an established playbook: how much value do our models deliver per dollar and per token, how is that changing with every launch, how do we compare to the rest of the frontier?</p> <p>You’ll own how Finance quantifies relative model value and market position: maturing our cross-product benchmark suite, building task-cost and price-elasticity estimates that inform live pricing and packaging decisions, sourcing and running capability and market analysis around every model launch, and standing up forecasting on third-party and survey data. The work is open-ended and technical, and you’ll operate as an analytical lead, partnering closely with Product Finance and our model performance Data Science teams.</p> <h2 class="heading"><strong>Key responsibilities</strong></h2> <ul> <li><strong>Build the relative-value measurement system: </strong>evolve our cross-product benchmark into a durable, trusted read on model and product value, spanning coding, agentic, and product-shaped tasks</li> <li><strong>Inform pricing and packaging: </strong>construct task-cost approximations and price-elasticity estimates across differently priced products, and carry them into decisions</li> <li><strong>Own launch and market analytics: </strong>run analytics around model launches, including capability-based revenue analyses and v