Corporate Finance & Strategy, R&D Opex
San Francisco, CA - USA
Job Summary
About Anthropic
Anthropics 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 Strategic Finance partner to join our Finance team at Anthropic focused on operating expenses (OpEx) with a primary partnership across our Engineering this role you will be the financial partner to engineering leaders helping them make smart well-informed decisions about headcount vendor spend tooling and the operational investments that fuel our research and product work. As we continue to grow rapidly you will play a crucial role in shaping how we plan allocate and steward OpEx across the company.
Youll build driver-based models that tie vendor and tooling spend to the underlying technical inputs (usage seats throughput capacity) and youll be expected to engage substantively with engineering leaders on the technical realities behind those drivers and to push back with conviction when the numbers dont add up. The strongest partners on this team arent order-takers; they ask sharp questions challenge assumptions and help engineering leaders land on better decisions than theyd reach alone. If youre excited about getting close to the technology holding your ground in a debate with a thoughtful engineering leader and helping a fast-growing AI company invest its resources well wed love to hear from you.
Key responsibilities
Serve as the primary finance partner to Engineering leaders providing guidance and recommendations on vendor and tooling spend and resource allocation decisions.
Build and maintain driver-based financial models for engineering OpEx tying vendor and tooling spend to the underlying technical drivers (usage seats throughput capacity utilization) rather than top-down growth assumptions
Develop a deep understanding of the engineering tooling and vendor stack so you can engage substantively with technical leaders on whats driving spend and where its headed
Lead budgeting forecasting and long-range planning for the engineering organization partnering with leaders to translate roadmaps into resource plans
Push back constructively on assumptions proposals and forecasts bringing data sharp questions and clear reasoning to help engineering leaders land on better decisions
Prepare clear concise financial reports analyses and variance commentary that highlight key trends risks and opportunities for engineering and finance stakeholders
Establish reporting dashboards and scorecards that track engineering headcount vendor spend efficiency and other key operational metrics
Drive analyses on build-vs-buy decisions vendor consolidation contract negotiations and organizational design tradeoffs where finance can sharpen engineering decision-making
Partner cross-functionally with Strategic Finance FP&A Accounting Recruiting and People teams to ensure engineering plans are aligned with broader financial strategy
Participate in resource allocation exercises to ensure clarity around headcount prioritization
Minimum qualifications
Have experience in FP&A OpEx or G&A finance preferably at high-growth technology companies
Have demonstrated experience building driver-based financial models tying spend to operational and technical inputs rather than top-down growth rates
Are comfortable with technical concepts and have a genuine interest in understanding the systems tools and infrastructure behind the line items youre modeling
Have a track record of pushing back constructively on senior stakeholders bringing data and clear reasoning to disagreements rather than deferring to the loudest voice in the room
Demonstrate excellent communication and storytelling abilities with experience presenting to C-suite executives and board members
Have a bias toward action strong work ethic and experience driving operational outcomes under tight timelines
Thrive in fast-paced dynamic environments and can navigate ambiguity with confidence
Possess strong collaboration skills and can build effective partnerships across functions and levels
Are passionate about Anthropics mission to build safe beneficial AI systems
Preferred qualifications
Have experience at a high-growth technology company or startup
Possess expertise with modern financial planning tools (e.g. Anaplan Pigment)
Have direct experience partnering with Engineering R&D or other technical organizations as a finance business partner
Have hands-on experience modeling vendor spend with technical drivers cloud/SaaS usage seat-based tooling observability and data infrastructure costs etc.
Possess a technical background or coursework (CS engineering quantitative field) or comparable self-taught fluency
Have experience leading headcount planning and workforce modeling at scale
The annual compensation range for this role is listed below.
For sales roles the range provided is the roles 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:
$235000 - $310000 USD
Logistics
Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.
How were 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. Were 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 aboutour policyfor using AI in our application process
About Company
Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.