Finance & Strategy, Product Intelligence
AnthropicSan Francisco, CA | New York City, NYPosted 11 March 2026
Job Description
About Anthropic
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.
Finance Strategy, Product Intelligence
About the role:
We are looking for a Finance Strategy, Product Intelligence team member to join our Finance team at Anthropic. In this role, you will help the company build and maintain a well-informed view of the AI market, and ensure that understanding flows to the people making strategic and financial decisions. You will research, analyze, and communicate what is happening across the industry, and why it matters for Anthropic.
You will sit within the Product Finance Strategy team and work broadly across the organization. The right person for this role blends financial and analytical rigor with deep interest in AI products and technology, and can distill complex, fast-moving market dynamics into actionable insights.
Responsibilities:
Develop and maintain a continuous, data-grounded understanding of the AI market, identifying trends, shifts, and developments that are relevant to Anthropic's strategy
Act as a key analytical resource across the Finance team and broader organization, providing market context that supports strategic decision-making
Conduct research using a mix of quantitative and qualitative methods to surface insights for product and business stakeholders
Create clear, well-structured materials that make complex market information accessible and useful to a range of internal audiences
You may be a good fit if you:
Have 5+ years of experience in strategic finance, consulting, equity research, product management, market intelligence, or a related analytical role
Combine financial or analytical rigor with a deep interest in AI products, technology, and the broader industry ecosystem
Are skilled at synthesizing information from disparate sources and communicating it clearly to a range of audiences
Have a strong bias toward action and are comfortable operating with incomplete information in a fast-moving environment
Enjoy the research process: tracking down information, triangulating sources, and building a coherent picture from fragmented data points
Have strong quantitative skills and are comfortable building and maintaining models and dashboards
Proficiency in SQL or other data tools used for market analysis
Are passionate about Anthropic's mission to build safe, transformative AI systems
Strong candidates may also have:
Experience in equity research, investment analysis, or similar roles covering technology or infrastructure companies
A background that combines technical or product work with finance or consulting (e.g., a former PM who moved into strategy, or an analyst who covered SaaS/infrastructure)
Familiarity with consumption-based business models
Experience conducting primary research through expert networks, surveys, or user interviews
An existing network or deep familiarity with the AI ecosystem's key players, investors, and dynamics
Deadline to apply: None. Applications will be reviewed on a rolling basis.
The annual compensation range for this role is listed below.
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.
Annual Salary:
$190,000
$235,000 USD
Logistics
Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.
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 do sponsor visas! However, we aren't able to successfully sponsor visas for every role and ... (truncated, view full listing at source)
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