Finance & Strategy, Compute (Central)

Anthropic · San Francisco, CAsenior

In short

▸Liderar la visión financiera consolidada de la infraestructura de cómputo de Anthropic.
▸Gestionar reportes ejecutivos, modelos financieros y cronogramas operativos entre equipos de finanzas.
▸Ser el centro de verdad financiera para el liderazgo y el consejo, con enfoque en sistemas y alineación de datos.

Comfort working cross-functionally and communicating complex financial information to non-

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What they ask for

✓Experiencia en FP&A, finanzas estratégicas o consultoría en entornos multiunidad o con infraestructura compleja
✓Haber construido o gestionado procesos de consolidación o asignación financiera entre múltiples áreas
✓Habilidades analíticas para reconciliar modelos complejos en una visión única y defensable
✓Capacidad para diseñar procesos, cadencias operativas y sistemas de planificación
✓Comunicación escrita excelente, con experiencia en materiales para directivos y consejo
✓Capacidad de trabajo cruzafuncional y explicación de datos financieros a audiencias no financieras

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FP&AConsolidationCost allocationFinancial modelingBoard materialsExecutive reviewsDashboardingPlanning systemsData pipelinesModel hygiene

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About Anthropic 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. About the role We are seeking a Strategic Finance Lead to own the consolidated financial view across Anthropic's compute infrastructure organization. Compute finance spans across accelerators, cloud spend, direct infrastructure, datacenters and data partnerships. This role sits at the center: owning the consolidation, the operating cadence, the cost allocation methodology, and the executive-facing narrative that ties them together. You will be a key partner to Corporate FP&A, Accounting, and Finance Systems, ensuring our compute financials integrate cleanly into the company plan, our models reconcile across pillars, and our leadership and board materials reflect a single, defensible source of truth. Key responsibilities: Consolidation & Reporting • Own consolidation and workback of the financial review cadences across all compute finance pillars into a single narrative for finance and compute leadership • Manage the compute finance contribution to board materials and executive reviews • Own and maintain team dashboards, recurring content, and reporting infrastructure — keeping them live, accurate, and reconciled • Drive integration of financial models across the compute finance team into a coherent, full three-statement view Operating Rhythm & Systems • Own the calendar and cadence between Compute Finance and Corporate FP&A — close, forecast, budget, and long-range plan handoffs • Run team operating rhythm: meeting agendas, sprint cadence, recurring deliverable tracking, and cross-pillar coordination • Own compute finance's planning-system footprint — datasets, sources of truth, and pipeline into corporate systems • Drive model hygiene, version control, and central organization of team financial models Minimum qualifications • Experience in FP&A, strategic finance, finance operations, consulting, or investment banking, preferably in a multi-business-unit or infrastructure-heavy environment • Built or run a consolidation, allocation, or planning process across multiple finance owners • Exceptional analytical skills and the ability to reconcile complex models into a single defensible view • Strong process design and operating-cadence instincts • Excellent written communication; comfortable producing board- and executive-level materials • Comfort working cross-functionally and communicating complex financial information to non-finance audiences • Bias towards action, strong work ethic, and experience driving outcomes under tight timelines • Passion for Anthropic's mission to build safe, transformative AI systems Preferr

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