Staff FinOps Analyst

📋 Description

• Define, track, and systematically review AI cost and usage KPIs; identify anomalies and outliers
• Design and operate an anomaly detection framework to surface suspiciously high AI usage across
• Quantify, prioritize, and propose cost optimization opportunities—evaluating levers such as PTU vs.
• Design preventive governance controls so that cost anomalies and overruns, once identified, are
• Define and implement AI spend guardrails in coordination with cloud and LLM providers: set up
• Coordinate the AI FinOps governance program across engineering, finance, and cloud provider

🎯 Requirements

• Experience in leveraging or critically thinking about how to integrate AI into work processes
• 8 years of related experience with a Bachelor's degree; or 6 years and a Master's degree; or a PhD
• Strong working knowledge of LLM pricing models, multi-cloud AI services (AWS Bedrock, Azure OpenAI
• Proficiency in data analysis using SQL and/or Python to build KPI frameworks, identify usage
• Hands-on experience with multi-cloud cost governance across AWS, Azure, and GCP, including budget
• Proven cross-functional collaboration skills with engineering teams—ability to communicate cost

🎁 Benefits

• Base pay: $176,100 - $308,200 (for locations specified)
• Equity (when applicable)
• Variable/incentive compensation
• Health plans including flexible spending accounts
• 401(k) Plan with company match
• ESPP