Finance & Strategy (Datacenter FP&A)

• 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

Benefits

• Comprehensive health, dental, and vision insurance for you and your dependents
• Inclusive fertility benefits via Carrot Fertility
• 22 weeks of paid parental leave
• Flexible paid time off and absence policies
• Mental health support for you and your dependents
• Competitive salary and equity packages
• Optional equity donation matching at a 1:1 ratio, up to 25% of your equity grant
• Retirement plans with competitive matching
• Life and income protection plans
• $500/month flexible wellness and time saver stipend
• Commuter benefits
• Annual education stipend
• Home office stipends
• Relocation support for those moving for Anthropic
• Daily meals and snacks in the office- Passion for Anthropic’s mission to build safe, transformative AI systems
• Owned an infrastructure operating P&L and driven cost-out programs against it
• 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
• Exceptional analytical skills with an ability to synthesize data into compelling insights and develop complex financial operating models
• Strong relationship building, business judgment, process management, and communication skills
• Bias towards action, strong work ethic, and experience driving operational outcomes under tight timelines
• Comfort being the finance person in the partner/vendor room and partnering with technical operating teams
• 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
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification
• 7+ years of experience in strategic finance, infrastructure investment, FP&A, private equity, consulting, or investment banking
• 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