Finance Business Partner, AI & Software

The role

You will serve as the primary finance business partner for AI/ML and Infrastructure teams. You will partner with Technology leaders to manage financial planning, performance, and resource allocation across compute, GPU, and LLM costs.

What you will do

• Provide end-to-end financial leadership for AI/ML and Infrastructure teams.
• Partner with Technology leaders to translate roadmaps into financial outcomes.
• Produce Board and investor materials and support fundraising diligence.
• Assist with cash runway modeling and scenario planning.
• Lead headcount and capacity planning for technical teams.
• Translate technical cost data into narratives and decision frameworks for executives.
• Own financial tracking and analysis of compute and GPU infrastructure spend.
• Build and maintain LLM usage and API cost models.
• Develop frameworks for data storage and pipeline cost visibility.
• Co-own financial models and rolling forecasts.

Required qualifications

• 7 to 10+ years in FP&A, strategic finance, investment banking, consulting, or similar analytical roles.
• Demonstrated zero-to-one build experience across driver-based models, annual planning, rolling forecasts, KPI dashboards, and management reporting.
• Hands-on experience with technology cost management, including cloud infrastructure, compute/GPU, or AI/ML cost structures.
• Strong financial acumen and accounting fluency.
• Ability to work with imperfect datasets and reconcile to source systems.
• Clear, concise communicator who can simplify complexity, influence cross-functionally, and present to executives and the Board.
• Thrives under tight timelines and changing priorities, balancing precision with pragmatism.
• Bachelor’s degree in finance, economics, engineering, math, or related field.

Nice to have

• Startup or scale-up experience strongly preferred.
• Domain familiarity with AI/ML infrastructure and cloud economics.
• Experience building FinOps-style frameworks for cloud cost visibility, allocation, and optimization.
• Familiarity with LLM cost modeling, including inference and training cost structures.
• Experience implementing or scaling FP&A processes within planning tools.

About the company

Lila Sciences is building Scientific Superintelligence to solve humankind's greatest challenges. The company builds systems that can learn for themselves by combining advanced AI models with proprietary AI Science Factory instruments.