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.
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 Lead to own the operating P&L for Anthropic's datacenter infrastructure partnerships. This role will be the finance owner for every site covering lease, power and operations.
In this role, you will be a key partner to our infrastructure teams, providing financial expertise and guidance to keep our sites on budget, drive operating costs down, and de-risk our largest infrastructure exposures. You will own the near-term forecast for datacenter spend, run budget-vs-actual on projects, and serve as the primary finance counterpart to our datacenter operating partners.
Datacenter Financial Planning & Analysis
Own FP&A for all live-site datacenter operating costs including lease/rent, power, hardware ops, facility/DC ops, physical security, warehousing, and operator fees
Build and maintain per-site cost forecasts; refresh on a cadence that supports monthly reviews and board reporting
Run budget-vs-actual on datacenter developer spend and site build budgets, tracking expected eventual spend against approved commitments
Own the in-year power cost model across pass-through and direct costs
Reconcile operating partner invoices to forecast and lead the finance operating cadence with datacenter partners
Partner with Accounting on contract operationalization, lease accounting, and close
Strategic Projects
Lead financial analysis for site-level optimization initiatives and operating model decisions
Handle operational finance asks tied to datacenter partners and live sites
Partner with the Datacenter Expansion lead on deal-to-operations handoffs, ensuring budgets set at signing are operationalized at commissioning
You may be a good fit if you have:
7+ years of experience in strategic finance, infrastructure investment, FP&A, private equity, consulting, or investment banking, preferably with datacenter, energy, real estate, telco, or managed-services infrastructure experience
Owned an infrastructure operating P&L and driven cost-out programs against it
Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
Comfort being the finance person in the partner/vendor room and partnering with technical operating teams
A bias towards action, strong work ethic, and experience driving operational outcomes under tight timelines
Strong relationship building, business judgment, process management, and communication skills
Passion for Anthropic's mission to build safe, transformative AI systems
Direct experience with datacenter, colocation, or power (PPA / energy procurement) economics and contract structures
Experience managing finance cadence with a third-party operator or managed-services provider
Background in AI, ML, or high-performance, large-scale computing infrastructure
Proficiency with financial modeling tools and languages (SQL, Python, Excel)
MBA or other advanced degree in finance, economics, or business
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 USDMinimum 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.
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
