Finance Business Partner, AI & Software

Lila Sciences
Cambridge
Workplace: OnsiteFull timeFunction: Finance & AccountingExperience: 7+ yearsEducation: bachelorsSkills: ["Communication","Cross-functional influence","Analytical problem-solving","Comfort with imperfect data","Executive-ready storytelling"]

Serve as the primary finance partner for AI/ML and Infrastructure teams, owning end-to-end FP&A including planning, performance management, investment governance, and risk controls. Translate AI and infrastructure roadmaps into P&L, cash, and capital implications, build KPI/reporting dashboards, and lead headcount/capacity planning. Model compute/GPU and LLM API costs, produce Board/investor materials, and improve source-of-truth metrics by partnering with Accounting, IT, and Procurement.

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Lila Sciences
Lila Sciences
3 days ago

Finance Business Partner, AI & Software

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Last checked: 15 minutes agoStatus: Live
Reposted: similar role first listed 5 months ago

Job Summary

Serve as the primary finance partner for AI/ML and Infrastructure teams, owning end-to-end FP&A including planning, performance management, investment governance, and risk controls. Translate AI and infrastructure roadmaps into P&L, cash, and capital implications, build KPI/reporting dashboards, and lead headcount/capacity planning. Model compute/GPU and LLM API costs, produce Board/investor materials, and improve source-of-truth metrics by partnering with Accounting, IT, and Procurement.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Finance & Accounting
Seniority: Mid level

Key Responsibilities

  • •Provide end-to-end financial leadership across planning, performance management, investment governance, and risk controls for AI/ML and Infrastructure.
  • •Partner with technology leaders to translate roadmaps into financial outcomes, including P&L, cash, and capital implications.
  • •Build and maintain LLM usage and API cost models, track inference and training costs, and identify optimization opportunities.
  • •Own financial tracking and analysis of compute and GPU infrastructure spend, including utilization reporting and efficiency benchmarks.
  • •Develop KPI frameworks, reporting packages, dashboards, and variance analyses; support Board/investor materials and fundraising diligence.

Key Requirements

  • •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.
  • •Bachelor’s degree in finance, economics, engineering, math, or a related field.
Experience:7+ yearsFP&AStrategic financeInvestment bankingConsultingStartup or scale-upAI/MLCloud infrastructure
Education:Bachelor's
Skills:CommunicationCross-functional influenceAnalytical problem-solvingComfort with imperfect dataExecutive-ready storytelling
Languages:English

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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