Product Finance, Inference Capacity Lead

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 seeking a Product Finance, Inference Capacity Lead to join our Finance team at Anthropic. In this role, you will be a key partner to our product teams, engineering leaders, and go-to-market teams, providing financial expertise and guidance to support strategic decision-making. As we continue to grow, you will play a crucial role in analyzing financial data, building detailed financial models, and delivering insights to drive informed business decisions across our inference infrastructure—one of the biggest line items on our P&L. This role will work closely with senior Compute, Product, and GTM stakeholders, and collaborating with other members of the finance organization to align product and inference strategies with broader financial considerations. You'll be passionate about optimizing and driving clarity into the impact that inference capacity has on our growth potential, while creating and scaling novel unit economic metrics for the business to operate by. If you are passionate about leveraging financial acumen to support innovation and drive business success at our cutting-edge AI company, join us on the frontier of making AI safe and impactful. Key responsibilities Provide expert guidance, recommendations, and influence to product, engineering, and go-to-market stakeholders on financial strategies, investments, and resource allocation decisions, leveraging an in-depth understanding of the company's financials Partner cross-functionally with senior engineering leaders and technical teams to drive detailed financial modeling and analysis, building sophisticated models to optimize inference infrastructure costs and performance Lead the creation and scaling of novel unit economic metrics for the business, including LTV, contribution margin, and other key performance indicators that enable data-driven decision-making Drive optimization initiatives and provide clarity into inference infrastructure costs, working to maximize efficiency of one of our largest P&L line items Partner cross-functionally to drive analysis, build financial models, and recommend business decisions across a variety of areas, such as pricing and packaging, business expansion, and defining new unit economic frameworks Prepare and deliver clear, concise, and insightful financial reports, analyses, and forecasts, highlighting key trends, risks, and opportunities to facilitate informed decision-making to stakeholders and executives Collaborate with other members of Finance & Strategy and accounting counterparts, helping to align product and inference strategies with broader financial considerations Establish and implement reporting dashboards and scorecards to track key operational and financial metrics Minimum qualifications Exceptional analytical skills with an ability to synthesize data into compelling insights and develop / maintain complex and detailed financial operating models Extraordinary problem-solving and critical thinking abilities to navigate complex financial challenges Comfort working cross-functionally with senior engineering leaders, technical teams, and are adept at communicating complex financial information to both technical and non-finance audiences Excitement about working in a fast-paced, dynamic environment and adapt well to change Possess a bias towards action, strong work ethic, and have experience driving operational outcomes under tight timelines Strong relationship building, business judgment, process management, and communication skills Passion for optimizing and driving clarity into major cost centers and P&L line items Are passionate about Anthropic's mission to build safe, transformative AI systems Preferred qualifications 8+ years of experience across strategic finance, product finance, compute finance, investment banking, private equity, and growth equity A combination of 5+ years in strategic finance, paired with several years prior across investment banking, private equity, or growth equity Direct experience and strong interest in AI infrastructure Background in AI, ML, or related technologies Experience creating and scaling novel unit economic metrics and frameworks Experience with consumption based and/or complex business models 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:

$235,000—$310,000 USD

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.