Anthropic

Data Science, Finance & Strategy

San Francisco, CA

H1B sponsorship available$270k-$320kDetected 6 days ago

PythonSQLAWSGCPCloud PlatformsCI/CDRESTdbtData ScienceData VisualizationNLPLLMsForecastingLogisticsResearchCommunication

About the role

Anthropic's Finance Analytics & 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?
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.
Anthropic's Finance Analytics & 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.

Build the relative-value measurement system: evolve our cross-product benchmark into a durable, trusted read on model and product value, spanning coding, agentic, and product-shaped tasks
Own launch and market analytics: run analytics around model launches, including capability-based revenue analyses and views of the broader market
Partner with Product Finance: take open-ended pricing, packaging, and positioning questions from vague ask to decision-grade answer
Work fluently with modern tooling: you're strong at data visualization, use Claude and AI tools as force multipliers in analysis and BI, and can self-serve your own workflows across SQL, Python, dbt, and a cloud warehouse

Land narratives with executives: your analyses have changed pricing, product, or competitive decisions, and you can simplify for senior leaders without losing rigor
Years of experience required will correlate with the internal job level requirements for the position
Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Experience designing evals or benchmarks for AI models or products
Pricing and packaging analytics at scale, including elasticity estimation
Market share estimation from imperfect third-party, panel, or survey data
Fluency in the LLM model and product landscape
Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience

However, we aren't able to successfully sponsor visas for every role and every candidate.
But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We do sponsor visas!

This listing is sourced directly from Anthropic's careers page and normalized into a canonical job model.