Overview
This role supports financial planning and management for rapidly evolving AI infrastructure and token finance. You will work as a strategic Finance business partner to the Central AI team, partnering closely with Engineering, Product, Business Operations, and other Finance leadership.
The work is highly dynamic: usage patterns, product adoption, model mix, vendor economics, and technology can change quickly. Success in this role requires comfort operating in ambiguity, turning complex data into actionable insights, and knowing when deeper analysis is needed versus when a directional answer is required.
Responsibilities
- Serve as a strategic Finance business partner for Central AI, partnering across Engineering, Product, and BizOps.
- Own financial planning and modeling for AI infrastructure and token spend, including:
- Forecasting
- Annual planning
- Long range planning
- Scenario modeling
- Strategic ad hoc analyses
- Develop deep understanding of AI economics and underlying business drivers, including adoption and usage, token consumption, model mix, infrastructure requirements, vendor pricing, and efficiency levers. Translate these drivers into COGS, unit economics, and gross margin implications.
- Proactively drive process improvements, scaling financial models, data and tooling (in partnership with Cloud Finops), and other systems and processes.
- Provide financial thought leadership that influences investment, product, and operating decisions.
Requirements
- 10+ years of experience with complex financial modeling, driver-based forecasting, scenario analysis, budgeting, and long range planning.
- Experience in the software industry and with cloud infrastructure and cloud provider economics, including the ability to understand technical cost drivers and translate them into financial outcomes.
- Experience with LLM/token economics and the rapidly evolving AI ecosystem, or demonstrated depth working with comparable consumption-based technology models.
- Strong analytical judgment and the ability to identify the few variables that matter most within large and complex datasets.
- Ability to operate independently through ambiguity and bring structure to problems without an established playbook.
- Excellent executive communication skills, including simplifying complex financial and technical topics and creating polished, executive-ready deliverables.
- High say/do ratio, strong attention to detail, and ability to thrive in a fast-paced environment where priorities, assumptions, and technology can change quickly.
Compensation & Benefits
The organization aims to design equitable, explainable, and competitive compensation programs. Base pay is set within a geographic range based on skills, knowledge, and experience.
This role may also be eligible for benefits, bonuses, commissions, and equity.
United States base pay ranges (new hires)
- Zone A: $168,300 - $219,725
- Zone B: $151,470 - $197,753
- Zone C: $139,689 - $182,372
Benefits and perks include health and wellbeing resources and paid volunteer days, among other offerings.
Location
Work can be performed from an office, from home, or a combination of both. Hiring may be available in any country where the employer has a legal entity.
Additional Information
- Identity verification (which may include use of biometric data) is a condition of employment for employment fraud purposes, in line with local law.
- Accommodations or adjustments may be available at any stage of the recruitment process.