Finance Business Partner, AI & Software
Cambridge, MA USAFull-timePosted 2mo ago
About the role
Finance Business Partner for AI/ML and Infrastructure teams at Lila Sciences, scaling financial backbone for AI/ML, infrastructure, and data workloads; partners with technology leaders to drive financial clarity and resource allocation.
Responsibilities
- Serve as the primary finance business partner for AI/ML and Infrastructure teams, providing end-to-end financial leadership across planning, performance management, investment governance, and risk controls.
- Partner with Technology leaders to translate AI and infrastructure roadmaps into financial outcomes with clear P&L, cash, and capital implications.
- Produce Board and investor materials and support fundraising diligence with crisp analyses and data room preparation.
- Assist with cash runway modeling and scenario planning across compute, AI/ML, and infrastructure cost vectors.
- Lead headcount and capacity planning across rapidly growing technical teams, tracking hiring pace and resource allocation across critical projects.
- Translate complex technical cost data into clear narratives, recommendations, and decision frameworks for executives and cross-functional leaders.
- Own financial tracking and analysis of compute and GPU infrastructure spend, including utilization reporting and efficiency benchmarks.
- Build and maintain LLM usage and API cost models, partnering with ML teams to track inference costs, training runs, and optimization opportunities.
- Develop frameworks for data storage and pipeline cost visibility, driving accountability for storage efficiency and lifecycle management.
- Co-own financial models and rolling forecasts across headcount, OPEX, CAPEX, cloud and GPU spend, LLM API costs, and data infrastructure.
- Expand KPI frameworks, reporting packages, dashboards, and variance analyses for executives and budget owners.
- Help implement and operationalize FP&A tooling through integrations with core business systems.
- Partner with Accounting, IT, and Procurement to improve data quality, chart of accounts structure, and source-of-truth metrics for cloud and infrastructure cost allocation.
Qualifications
- 7 to 10+ years in FP&A, strategic finance, investment banking, consulting, or similar analytical roles.
- Startup or scale-up experience strongly preferred.
- 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.
Skills
Required:Financial planning and analysis (FP&A)Cost management for cloud/GPU/AI infrastructureExecutive communicationScenario planning and modelingCross-functional collaboration
Benefits
- Guided by core values of truth, trust, curiosity, grit, and velocity; startup speed
- Equal employment opportunity commitment
- Candidate privacy policy adhered to
Last updated Aug 19, 2026. Interested? Apply on the company site.
About Lila Sciences
Pioneering Scientific Superintelligence
Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.
Scientific SuperintelligenceAIAutonomous LabsLife SciencesChemical SciencesMaterials Sciences
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