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communication forecasting cloud ai modeling📋 Description
- Drive monthly, quarterly, and long-range forecasting for cloud and hosting expense
- Build driver-based models for AI workloads (Training vs Inference) linked to plans
- Lead monthly forecast for capitalized labor; align with Accounting and Engineering
- Identify efficiency opportunities across cloud and GPU spend via utilization optimization
- Establish financial guardrails for AI and infrastructure investments
- Deliver vendor showback reporting to surface utilization insights and contracts
🎯 Requirements
- 7-10 years in FinOps, Strategic Finance, or FP&A with relevant experience
- Deep understanding of cloud economics, GPU workloads, and LLM cost levers
- Proven ability to build driver-based models connecting inputs to outcomes
- Experience developing unit economics, ROI frameworks, and investment models
- Excellent business partnering with engineering/product teams; able to influence
- Strong executive storytelling; translate tech concepts into financial narratives
🎁 Benefits
- Hybrid work setup in Toronto with 3 days in office when hub opens
- Competitive benefits via partner during transition; potential Upwork benefits later
- Eligible for annual bonus plan and long-term equity incentive program
- Diversity, inclusion, and equity commitment
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