We are looking for a Staff Engineer, FinOps & Cost Platform to build and lead our engineering cost-management capability. This is a founding individual contributor role focused on improving visibility, understanding, and optimization across all engineering-controlled spend, including cloud infrastructure and engineering-owned technical vendors.

You will build the systems, tooling, and data models required to make engineering spend attributable, explainable, and actionable. In the near term, you will drive measurable savings. Over time, you will help build showback, chargeback, and unit-cost capabilities that allow us to understand the cost of services, platforms, and customer footprint more deeply.

What You'll Do

• build the internal cost platform and reporting model for engineering spend
• own analysis and optimization of AWS and engineering-owned vendor spend
• improve cost attribution, tagging, and data quality
• define and implement showback, chargeback, and unit-cost models
• partner with engineering teams to drive optimization opportunities
• partner with finance and procurement on forecasting, renewals, and vendor rationalization
• design telemetry-backed cost models that connect infrastructure spend to real usage
• establish governance, review cadences, and cost-aware engineering practices

What We're Looking For

• strong infrastructure or platform engineering background
• deep experience with AWS or comparable cloud environments
• proven experience with cost optimization, capacity economics, or FinOps-like work
• strong analytical and data-modeling ability
• hands-on experience building tooling, dashboards, or internal platforms
• ability to influence cross-functional stakeholders without direct authority
• strong communication across technical and business audiences

Nice to Have

• experience with CloudZero, Apptio, CloudHealth, or similar platforms
• showback or chargeback experience
• telemetry or unit-cost modeling experience
• engineering-vendor utilization and cost-governance experience
• prior experience building a new internal capability from scratch