FinOps Engineer

The role

This FinOps Engineer will help control cloud and AI costs across Wiz's internal infrastructure. The work covers unit economic models for AI token use, cost guardrails, and automation for spend monitoring.

What you will do

• Build and maintain unit economic models for AI token consumption and batch API efficiency across major AI providers.
• Evaluate cost vs. performance trade-offs across AI model tiers and implement caching, dynamic routing and batch processing.
• Design and build automation scripts, CI/CD budget checks and internal tooling to monitor AI spending and enforce cost guardrails.
• Architect and deploy automated AI agents to monitor infrastructure, identify token bloat and run cost-reduction workflows.
• Establish real-time alerting and anomaly detection for token consumption spikes and runaway agent loops.
• Partner with Backend Engineering, Research and Product teams to embed cloud cost governance into AI architecture.

Required qualifications

• Minimum of 3 years of experience as a FinOps Engineer, preferably for a SaaS company.
• Solid foundation and hands-on experience in cloud environments (AWS, Azure, or GCP).
• Cost management experience and financial analysis and modeling.
• Hands-on experience with AI foundation model APIs, token billing structures, and compute/GPU allocation models.

Nice to have

• Full professional fluency (written and verbal) in both Hebrew and English.
• Excellent interpersonal skills and ability to work effectively with people at all levels in the organization.
• Independent self-learner who is comfortable working both independently and as part of a team.

Before you apply

• Applicants must have the legal right to work in the country where the position is based.
• This role does not offer visa sponsorship.

About the company

Wiz is a security company that secures cloud and AI applications, trusted by over 65% of the Fortune 100. It is now powered by Google, offering AI-powered threat detection and response.