Data Science, Finance & Strategy

Anthropic; San Francisco (CA); Hybrid; USD 270,000 - 320,000; Full time

Job summary

Anthropic is seeking a senior Finance Analytics & Business Intelligence contributor to own measurement of model value and market position. You will mature benchmarks, build task-cost and price-elasticity estimates, and drive pricing decisions across models and products.

You will partner with Product Finance and Data Science to forecast impact, analyze external data, and provide executive‑level narratives with rigorous data and honest error bars.

Qualifications

• 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.
• Dimensional modeling and warehouse design experience (grain, SCDs, point‑in‑time correctness).
• Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability.

Responsibilities

• Build the relative‑value measurement system across models and products, maturing a cross‑product benchmark.
• Inform pricing and packaging through task‑cost approximations and elasticity estimates.
• Own launch and market analytics including capability‑based revenue analyses.
• Deepen market understanding by evaluating external datasets and research.
• Partner with Product Finance to translate pricing questions into decision‑grade answers.
• Raise the bar by uplifting the team’s product‑finance analytics practice.

Skills

SQL

Python

dbt

Data visualization

Pricing analytics

Market analysis

LLM landscape

Cloud platforms

CI/CD

Education

Bachelor's degree

Tools

AWS

GCP

dbt

Job description

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.

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.

Key Responsibilities

• 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
• Inform pricing and packaging: construct task‑cost approximations and price‑elasticity estimates across differently priced products, and carry them into decisions
• Own launch and market analytics: run analytics around model launches, including capability‑based revenue analyses and views of the broader market
• Deepen our market understanding: evaluate and integrate external datasets and research to strengthen our read on the market and how it’s evolving
• Partner with Product Finance: take open‑ended pricing, packaging, and positioning questions from vague ask to decision‑grade answer
• Raise the bar: land narratives in executive forums and uplevel the team’s product‑finance analytics practice by example
• Put shape around ambiguity: personally define the measurement approach for questions nobody knew how to answer, without waiting for a fully specified ask
• Land narratives with executives: analyses that have changed pricing, product, or competitive decisions, and simplify for senior leaders without losing rigor
• Stay hands‑on at senior scope: write the SQL and Python yourself, and ship a defensible v1 with honest error bars rather than wait for perfect data
• Are inherently curious: go one level deeper than asked and be energized by how fast models, products, and the market are moving
• Thrive amid shifting priorities: juggle multiple fast‑moving workstreams and stay effective when the plan changes weekly
• Work fluently with modern tooling: data visualization, use of AI tools as force multipliers, and self‑serve workflows across SQL, Python, dbt, and a cloud warehouse

Preferred Qualifications

• 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
• Dimensional modeling and warehouse design experience (grain, SCDs, point‑in‑time correctness)
• Cloud platform experience (AWS, GCP) with orchestration, CI/CD for data, and testing/observability

Compensation

The annual compensation range for this role is $270,000 - $320,000 USD. 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.

Logistics

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

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

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We sponsor visas. If you receive an offer, we will make every reasonable effort to obtain a visa.

We encourage you to apply even if you do not believe you meet every single qualification.

Equal Employment Opportunity

As set forth in Anthropic’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.