As a Strategic Finance Lead, 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 include:

• Consolidation & Reporting: owning consolidation and workback of the financial review cadences across all compute finance pillars into a single narrative for finance and compute leadership
• Operating Rhythm & Systems: owning the calendar and cadence between Compute Finance and Corporate FP&A , close, forecast, budget, and long-range plan handoffs
• Model Hygiene: driving model hygiene, version control, and central organisation of team financial models

Minimum qualifications include experience in FP&A, strategic finance, finance operations, consulting, or investment banking, preferably in a multi-business-unit or infrastructure-heavy environment. Exceptional analytical skills and the ability to reconcile complex models into a single defensible view are also required.

Preferred qualifications include 7+ years of experience in FP&A, strategic finance, finance operations, consulting, or investment banking, as well as experience with cost allocation / chargeback methodologies in a cloud or infrastructure context.

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As a Strategic Finance Lead, 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 include:

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 include:

• 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

Preferred qualifications include:

• 7+ years of experience in FP&A, strategic finance, finance operations, consulting, or investment banking

• Experience with cost allocation / chargeback methodologies in a cloud or infrastructure context

• Background in AI, ML, cloud service provider economics, or large-scale computing infrastructure

• Proficiency with SQL, Python, and Excel

• Prior chief-of-staff, BizOps, or finance-systems experience in a high-growth environment

The annual compensation range for this role is $190,000-$235,000 USD.

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The Operations Analyst, Software Spend will operate at the intersection of Corporate Technology, Finance, Procurement, and senior business stakeholders to drive software optimization initiatives, support cost allocation processes, improve vendor governance, and bring structure to complex, fast-moving operational problems.

Key responsibilities include:

• Driving cross-functional initiatives that improve the efficiency, governance, and business value of Corporate Technology's software spend
• Owning the operating processes for software cost allocation, chargebacks, and spend visibility across business lines and divisions
• Supporting and leading commercial workstreams with key software vendors, including renewals, negotiations, performance tracking, and issue resolution
• Learning and owning the systems, data quality, and reporting workflows that underpin software spend management and optimization
• Helping manage the intake, evaluation, and escalation of new software requests, renewals, and portfolio-related decisions

In addition to these responsibilities, the Operations Analyst, Software Spend will also be expected to:

• Evaluate evolving business needs through utilization analysis, stakeholder partnership, and structured problem-solving to inform software portfolio decisions
• Perform deep-dive analyses on major vendors, spending patterns, and usage trends to support optimization decisions and develop business cases for action
• Define, track, and report on key operating metrics, such as spend per headcount, utilization, cost avoidance, and savings pipeline
• Lead regular portfolio reviews to identify rationalization opportunities, spending risks, and process improvement opportunities

The ideal candidate will have 3+ years of experience in business operations, strategy and operations, finance, procurement, vendor management, or related analytical/operational roles. They will also have strong analytical and financial modeling skills, including experience with cost modeling, variance analysis, and allocation or chargeback methodologies.

Experience in hyper-growth or other fast-paced operating environments is preferred, as well as familiarity with enterprise software vendors, licensing constructs, and software spend optimization approaches.

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