Overview
This role is responsible for financial planning and management for rapidly evolving AI infrastructure and token finance. You will own forecasting, budgeting, and financial modeling for the Central AI team, with a focus on infrastructure and token consumption. The position partners 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 requires comfort working in ambiguity, turning complex data into actionable insights, and knowing when deeper analysis is needed versus when a timely directional answer is sufficient.
Responsibilities
- Serve as a strategic Finance business partner for Central AI, partnering across Engineering, Product, and BizOps, and provide financial thought leadership to influence investment, product, and operating decisions.
- Own financial planning and modeling for AI infrastructure and token spend, including forecasting, annual planning, long range planning, scenario modeling, and strategic ad hoc analyses.
- Develop a 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 by scaling financial models, data and tooling (in partnership with Cloud Finops), and other systems and processes.
Requirements
- 10+ years of experience with complex financial modeling, driver-based forecasting, scenario analysis, budgeting, and long range planning.
- Experience in the software industry, including cloud infrastructure and cloud provider economics, with 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 the ability to simplify complex financial and technical topics and produce 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 and uses consistent hiring practices to set base pay within the range based on candidate skills, knowledge, and experience.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges (United States)
For this role, current base pay ranges for new hires in each geographic pay zone are:
- Zone A: $168,300 - $219,725
- Zone B: $151,470 - $197,753
- Zone C: $139,689 - $182,372
Location
- This role is available in any country where the organization has a legal entity.
- United States pay zones apply as listed above; confirm the zone for your specific location with your recruiter.
Additional Information
- Accommodations or adjustments may be available at any stage of the recruitment process; notify the Recruitment team during your conversation.
- Identity verification (which may include use of biometric data) is a condition of employment for employment fraud purposes, in line with local law.
- Equal employment opportunity: information will be kept confidential according to EEO guidelines; the organization does not discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status.