Product Finance & Strategy, Monetization (AI)

TL;DR

Product Finance & Strategy, Monetization (AI): Driving financial workstreams for model monetization and enterprise product economics with an accent on pricing, packaging, and token economics. Focus on building complex financial models, evaluating product investments, and optimizing gross margins for frontier AI systems.

Location: San Francisco, CA (Hybrid: must be in office at least 25% of the time)

Salary: $240,000 - $325,000 USD

Company

Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems to ensure they are safe and beneficial for society.

What you will do

• Own end-to-end model monetization, connecting token economics and compute costs to pricing and packaging decisions.
• Serve as the Finance & Strategy partner for Enterprise and Verticals product teams to shape business cases and investment decisions.
• Evaluate returns on roadmap bets and size opportunities for new enterprise product investments.
• Analyze unit economics and gross margin drivers to surface trends, risks, and opportunities.
• Collaborate with GTM, product, and compute stakeholders to execute pricing changes and new model launches.
• Establish and maintain reporting dashboards for key pricing, margin, and consumption metrics.

Requirements

• Background in investment banking, private equity, management consulting, or a comparable analytically rigorous role.
• Advanced proficiency in building and maintaining complex spreadsheet-based financial models from the ground up.
• Must be based in or able to work from the San Francisco office per the hybrid policy.
• Demonstrated ability to take full ownership of workstreams and drive them independently to a decision.
• Genuine, current obsession with AI and a clear perspective on the field's trajectory.
• Bachelor's degree or equivalent combination of education and experience.

Nice to have

• Direct experience owning pricing, packaging, or monetization strategy.
• Experience with usage-based, API, or consumption-based business models.
• Knowledge of cloud computing infrastructure and compute economics.
• Proficiency in SQL.
• Operating experience inside a company rather than solely in advisory/investing roles.

Culture & Benefits

• Competitive compensation with optional equity donation matching.
• Generous vacation and parental leave policies.
• Flexible working hours and a collaborative office environment.
• Focus on "big science" research and a highly collaborative team culture.
• Visa sponsorship available for eligible candidates.