- Location
- San Francisco, CA · San Francisco, California, United States
- Workplace
- Onsite
- Department
- Finance
- Experience
- 7+ years
- Education
- Master
- Source
- Greenhouse
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.
About the role
Our Corporate Finance & Strategy team serves as a strategic partner to Anthropic's leadership, driving data-informed decisions that shape our company's future. We are seeking a professional to support Anthropic's M&A and strategic transaction activity. In this role, you will lead the financial due diligence of acquisition targets and own the Finance & Strategy view of each deal: forecasting the target's business, testing the assumptions behind the deal, and translating its impact into Anthropic's forecast and plan.
You'll partner with a broad group of cross-functional stakeholders throughout the deal process, including Corporate Development, Accounting, R&D, People, and more. The role suits someone who has seen transactions from more than one vantage point, whether as an investor, a banker, or an operator. You'll give leadership a clear view of what each deal means for Anthropic's financials, and build the models, frameworks, and playbooks that keep this work consistent from one transaction to the next, leveraging Claude as a core part of your toolkit.
Key responsibilities
- Lead Finance & Strategy's financial due diligence on M&A and other strategic transactions: assess the target's historical performance and forecast, pressure-test the assumptions behind the deal, and surface the risks that matter for the decision
- Build the deal model and pro forma forecast for each transaction, and evaluate deal economics and structuring options
- Partner with Corporate Development on the deal case, Accounting on diligence findings and post-close integration, and the sponsoring business team on operating assumptions, carrying what you learn into the model
- Translate each deal's impact into Anthropic's forecast and plan, and present your analysis and recommendations to Finance leadership
- Build the templates, playbooks, and processes that make deal work repeatable, and use Claude to raise the rigor and pace of that work over time
Minimum qualifications
- 7+ years of experience in M&A-related roles across investment banking, private equity, growth equity, venture capital, corporate development, or strategic finance
- Hands-on experience building acquisition models and pro forma forecasts from scratch, with mastery of how a transaction flows through the three financial statements
- Strong collaborator who builds trust quickly across large, cross-functional deal teams
- Clear, proactive communication, including experience presenting to Finance leadership
- Thrives in fast-paced, dynamic environments and navigates ambiguity with confidence
- Track record of building new processes, templates, and playbooks
- Passion for Anthropic's mission of building safe, beneficial AI
Preferred qualifications
- MBA, CFA, or CPA
- Experience on both the investing / advisory and operating sides of transactions
- M&A experience at a public company, with an understanding of downstream reporting impacts
- Experience using Claude or similar AI tools to raise both the quality and the efficiency of your work
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.