Product Finance & Strategy, Monetization
Anthropic · San Francisco, United States · 1d ago
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.
About the role
We are hiring a Finance & Strategy team member to work across two areas: Model Monetization and Enterprise & Verticals. In Model Monetization, you will own the economics behind how we price and package our models, including list pricing, tiering, and consumption mechanics across model families. In Enterprise & Verticals, you will be the Finance & Strategy partner to the product teams, working on the business cases, product economics, and investment decisions behind what we build for enterprises and priority industries. Every model launch and most major enterprise product decisions run through this work.
The role carries a high degree of ownership and autonomy. It suits someone who likes building models and working through ambiguous questions. You will connect token economics, inference and compute costs, and margin to pricing and packaging decisions, and apply the same approach to enterprise and vertical product investments. You will be expected to form a view, defend it with analysis, and drive it to a decision. You should follow AI closely and have a perspective on where the field is heading.
If you want to work on the economics of frontier AI, join us in making AI safe and beneficial.
Key responsibilities
- Own model monetization end to end: build and maintain the financial models that connect token economics, inference and compute costs, and margin to pricing and packaging decisions across our model family and API
- Serve as the Finance & Strategy partner to our Enterprise and Verticals product teams, owning the financial lens on what we build for enterprises and priority industries
- Build the business cases behind enterprise and vertical product investments: size opportunities, model product economics and pricing, and evaluate the return on competing roadmap bets
- Partner cross-functionally with product, go-to-market, and compute stakeholders to evaluate pricing and packaging changes, new model launches, and consumption-based offerings, translating analysis into clear, opinionated recommendations
- Analyze the drivers of unit economics and gross margin, surfacing the trends, risks, and opportunities that should inform monetization and product strategy
- Track the competitive and market landscape for AI monetization and enterprise adoption, bringing an outside-in view that sharpens our own strategy
- Form and defend a point of view on monetization and product investment decisions, delivering clear, concise analyses that drive to resolution with executives and cross-functional partners
- Collaborate with finance, FP&A, and accounting counterparts to ensure decisions are consistent with broader financial strategy and reporting
- Establish and maintain reporting dashboards that track key pricing, margin, consumption, and product performance metrics
Minimum qualifications
- Advanced modeling: you can build and maintain a complex operating model from scratch, and you enjoy doing it
- A record of owning a workstream and driving it independently from question to decision
- The judgment to form an opinion and defend it, and the openness to update it as the analysis changes
- You follow AI closely and have a view on where it is going
- Ability to explain complex financial information clearly to non-finance audiences
- Commitment to Anthropic's mission to build safe, transformative AI systems
Preferred qualifications
- 7+ years in strategic finance, product finance, pricing, investment banking, private equity, growth equity, or management consulting
- Operating experience inside a company, not solely in an advisory or investing seat
- Direct experience owning pricing, packaging, or monetization strategy, for example setting or revising list prices, designing tiering and packaging, running pricing research, or measuring the impact of pricing changes
- Experience partnering with a product organization on business cases, investment decisions, or roadmap prioritization
- Experience with usage-based, API, or developer platform pricing, or other consumption-based business models
- Knowledge of and interest in cloud computing infrastructure and compute economics
- Proficiency in SQL
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.
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 do sponsor visas! 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 encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.