## About the Role

This role is responsible for leading centralized FinOps governance across a global, multi-cloud environment, with a strong focus on optimizing spend in GCP and AWS. It exists to improve cloud cost visibility, strengthen forecasting, and build clearer unit economics for shared resources and product usage.

A major part of the position is managing the financial side of the AI roadmap. That includes tracking current model usage costs and building the financial framework for future custom model development and training.

The role works closely with Finance, Engineering, DevOps/SRE, R&D, Product, and global leadership. It also includes ownership of vendor relationships and team leadership, with responsibility for developing and mentoring the FinOps team.

## Key Responsibilities

– Lead cloud financial governance and optimization across an international multi-cloud footprint.
– Build and maintain allocation models for shared cloud resources and multi-tenant usage.
– Own cloud budgets, third-party hosting licenses, forecasting, variance analysis, and capacity planning.
– Manage the financial impact of AI usage today and future custom model build and training costs.
– Lead global vendor negotiations, contract renewals, and strategic technology partnerships.
– Partner with Finance and Engineering leaders to deliver cloud TCO reporting and margin visibility.
– Develop, coach, and support the growth of the FinOps team.

## Required Skills

– 5+ years of experience in technology operations, procurement, or cloud finance.
– 2–3 years of formal people management or leadership experience.
– Proven ability to work across Finance, DevOps/SRE, R&D, and Product while supporting delivery speed.
– Production experience with GCP and AWS, including billing, commitment models, and discount structures.
– Deep knowledge of Kubernetes resource management, serverless compute, storage lifecycle tiering, and managed databases.
– Ability to translate cloud architecture into unit economics and cost optimization decisions.
– Background in negotiating high-value international contracts in decentralized organizations.
– Familiarity with AI cost drivers, including API token usage and compute-intensive model training.
– Strong stakeholder management, adaptability, analytical problem-solving, and communication skills.
– Comfortable communicating with global teams through written channels and video conferencing.
– Strong presentation and leadership skills with clear, concise communication.

## Cloud Platforms & Technologies

– **Cloud Providers:** Google Cloud Platform (GCP), Amazon Web Services (AWS)
– **Containers & Kubernetes:** Kubernetes
– **Compute & Storage:** Serverless compute, storage lifecycle tiering
– **Databases:** Managed databases
– **AI / ML:** Model consumption, custom model building and training, API consumption tokens
– **Tooling:** Custom in-house tooling

## FinOps Responsibilities

– Optimize cloud spend across GCP and AWS.
– Build cost-allocation and unit economics models for shared resources.
– Manage forecasting, budgeting, variance analysis, and capacity planning.
– Track and control AI-related cloud costs.
– Improve cloud TCO visibility for Finance and Engineering.
– Support vendor economics through negotiations and renewals.

## Benefits

– Comprehensive benefits package
– Mind, body, and lifestyle programs focused on overall well-being

## Compensation

– US base salary: **$155,400–$244,200 USD**
– Additional compensation may include bonus, commission, equity, and other benefits.
– Final compensation depends on work location, qualifications, skills, experience, and/or training.

## Why You Might Be Interested

This role offers ownership of FinOps strategy across a large multi-cloud environment, with direct influence on cloud spend, forecasting, and unit economics. It also adds exposure to AI-related cost management, global vendor negotiations, and cloud TCO reporting. The position includes people leadership and cross-functional work with Finance, Engineering, DevOps/SRE, R&D, and Product.