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.
We are seeking a Strategic Finance, Corporate Planning member to join our Corporate Finance & Strategy team at Anthropic. In this role, you will serve as a highly trusted financial partner to key G&A organizations — including People, Policy, Workplace, and Legal — acting as an extension of their teams on all financial matters. You will drive clarity across headcount planning, operating expense (OPEX) management, and strategic financial analysis, enabling leaders to make informed, well-supported decisions. This role sits at the intersection of rigorous financial modeling and meaningful cross-functional partnership, and offers a chance to shape how Anthropic plans and invests in its people and operations as the company scales.
Responsibilities- Partner with leaders to support organizational initiatives from a financial perspective, including headcount planning, compensation and equity analysis, program ROI, and scenario modeling
- Own and drive operating expense forecasting, variance analysis, and budget planning for assigned G&A functions, ensuring leaders have clear visibility into financial performance and goals
- Build and maintain financial models that support workforce planning, resource allocation, and strategic decision-making across the organization
- Provide proactive insights that enable better decision-making — not just answering questions, but anticipating them and surfacing risks and opportunities early
- Contribute to key corporate finance deliverables, including Board materials, investor relations support, and public company readiness efforts
- Develop deep expertise in equity compensation mechanics and partner with the Compensation team to model the financial impact of equity programs, refresh grants, and new hire grants
- Support the annual planning and budgeting process for all people-related expenses, working closely with department leaders to understand hiring needs and timing
- Establish and implement reporting dashboards to track key OPEX metrics
- 5+ years of experience across strategic finance, FP&A, compensation analytics, or investment banking
- Exceptional analytical skills with the ability to synthesize complex data into clear, actionable insights
- Advanced proficiency in financial modeling, Excel or Google Sheets, and SQL
- Strong understanding of equity compensation structures including stock options, RSUs, and refresh programs
- Comfort working cross-functionally and are adept at communicating complex financial information to non-finance audiences
- Excitement about working in a fast-paced, dynamic environment and adapt well to change
- Strong relationship building, business judgment, process management, and communication skills
- Passion about Anthropic's mission to build safe, transformative AI systems
- Expertise with modern financial planning tools (e.g., Anaplan, Pigment)
- Familiarity with stock-based compensation planning and modeling
- Strong knowledge of compensation and equity frameworks
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.
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.
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
Anthropic Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Anthropic and has not been reviewed or approved by Anthropic.
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Strong & Reliable Incentives — Pay is positioned as top-of-market for many technical roles through a mix of high base pay, equity, and occasional bonuses/signing incentives. Benefits like substantial monthly stipends and employer-paid protections further strengthen perceived total rewards.
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Healthcare Strength — Healthcare is described as comprehensive across medical, dental, and vision, with additional mental-health support. Coverage is framed as robust for employees and dependents, which can materially increase the value of the overall package.
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Parental & Family Support — Paid parental leave is described as notably generous, alongside fertility coverage and other family-oriented supports. These elements broaden the rewards package beyond cash compensation and can improve retention for caregivers.
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What We Do
Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.
