Senior FinOps Analyst: Cloud & AI Cost Strategy

AppsFlyer; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

AppsFlyer is seeking a Senior FinOps Analyst to drive cost transparency, accountability, and optimization across cloud and AI environments. You’ll sit at the intersection of Finance, Product, and Engineering, turning raw billing data into decisions that engineering and product teams can act on.

This is a strategic, high-visibility role with the opportunity to shape FinOps in the AI era, from cost visibility to using AI to modernize FinOps itself.

Qualifications

• 5+ years of FinOps or cloud cost analysis experience.
• Hands-on with AWS and/or GCP cost data (Cost Explorer, billing exports, or FinOps tools).
• Strong SQL and Excel skills.
• Solid understanding of cloud pricing models (on-demand, RI, Savings Plans).
• Experience with cost allocation and tagging.
• Ability to translate cost data into business insights for executives.
• High attention to detail and data accuracy.
• Ability to work cross-functionally in a fast-paced environment.

Responsibilities

• Own cloud cost reporting cadence and KPIs.
• Partner with Eng, Cloud Ops, and Product to turn cost insights into action.
• Present findings to technical and non-technical stakeholders.
• Translate requirements into cost KPIs and planning inputs.
• Investigate anomalies and validate root causes.
• Build and maintain cost dashboards.
• Track unit economics linking cloud/AI spend to usage metrics.
• Monitor AI/GenAI infrastructure costs as a new spend category.
• Identify and drive savings: rightsizing, RI/Savings Plans, commitments.
• Support financial planning: forecasting, budget vs actuals.
• Maintain FinOps tooling (Finout, etc.) with data validation.

Skills

FinOps analysis

Cloud cost data

SQL

Excel

Cost governance

Stakeholder comms

Cross-functional

Data-driven decisions

Tools

Cost Explorer

Finout

Billing exports

Job description

AppsFlyer is seeking a Senior FinOps Analyst to drive cost transparency, accountability, and optimization across cloud and AI environments. You’ll sit at the intersection of Finance, Product, and Engineering, turning raw billing data into decisions that engineering and product teams can act on.

This is a strategic, high-visibility role with the opportunity to shape FinOps in the AI era, from cost visibility to using AI to modernize FinOps itself.