layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

Director, Compute & Infrastructure FP&A at OpenAI | LAYIQ

Own compute financial planning & Forecasting.
Build and manage consolidation models for GPU/CPU capacity, storage, networking, and data center investments.
Translate infrastructure roadmaps into short- and long-term financial forecasts (LRP, annual planning)
Coordinate closely with Corporate FP&A on timelines and process
Present insights on a monthly basis to senior management.
Drive infrastructure investment decisions.
Evaluate build vs. buy, vendor vs. owned infrastructure, and capacity allocation tradeoffs.
Develop frameworks for investment trade-offs to guide executive decision making.
Build scalable tooling & reporting.
Implement stakeholder-facing dashboards to track compute spend, utilization, and efficiency metrics.
Improve visibility into unit economics (e.g., cost per training run, cost per inference, cost per customer).
Drive forecasting accuracy & accountability.
Lead budget vs. actual analysis for compute and infrastructure spend.
Identify key cost drivers (utilization, pricing, efficiency gains) and reduce forecast variance.
Support close & financial reporting.
Partner with Accounting to ensure accurate classification of infrastructure spend (OpEx vs CapEx).
Translate complex infrastructure costs into clear insights for leadership.
Enable strategic decision-making.
Build scenario models to support leadership decisions on capacity scaling, new model launches, and infrastructure investments.
Lead ad hoc analyses on emerging topics.
You Might Thrive in This Role If You Have
10+ years in strategic finance, with experience in infrastructure, cloud, hardware, or compute-intensive environments
2+ years in investment banking
Must have experience running an FP&A team at the corporate level or business unit level with significant scale.
Strong financial modeling skills, particularly in capacity planning, unit economics, and scenario analysis under uncertainty.
Experience supporting large-scale infrastructure or cloud spend (e.g., AWS/GCP/Azure, GPUs, data centers).
Ability to translate technical concepts (compute usage, model training/inference, system architecture) into financial insights.
Proficiency in Excel/Sheets, SQL, and BI tools (e.g., Tableau); experience with planning systems like Anaplan is a plus.
Strong cross-functional partnership skills, especially with Engineering, Product, and Supply Chain.
Familiarity with AI/ML infrastructure cost drivers and the economics of training and serving models.

Director, Compute & Infrastructure FP&A

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