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 partner to join our Finance team at Anthropic, focused on operating expenses (OpEx) with a primary partnership across our Engineering organization. In 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.
You'll build driver-based models that tie vendor and tooling spend to the underlying technical inputs (usage, seats, throughput, capacity), and you'll be expected to engage substantively with engineering leaders on the technical realities behind those drivers — and to push back with conviction when the numbers don't add up. The strongest partners on this team aren't order-takers; they ask sharp questions, challenge assumptions, and help engineering leaders land on better decisions than they'd reach alone. If you're 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, we'd love to hear from you.
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 what's driving spend and where it's 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
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 you're 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 Anthropic's mission to build safe, beneficial AI systems
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 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.
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