We are looking for a Cloud Infrastructure Cost Analyst to help us understand, forecast, and optimize the cost structure of our cloud-based products.

This role sits between engineering, finance, and data analytics. You will work closely with our Cloud Engineering team to understand how architectural decisions impact infrastructure cost and help the company make better data-driven decisions around scaling, resources, pricing, and usage.

You should be comfortable diving into cloud infrastructure concepts, analyzing usage data, and building tools and reports that help engineering, finance, and sales understand the economics of our platform.

Tasks

Analyze cloud usage and infrastructure spend to understand the main cost drivers across our platform
Build and maintain reports on infrastructure cost (e.g. free vs paid tier usage, POC environments, product-level cost)
Work closely with the Cloud Engineering team to understand how architecture and resource usage affect cost
Develop models to estimate cost per customer, feature, or workload
Forecast infrastructure spend based on usage trends and upcoming changes in our architecture
Identify opportunities for cost optimization (e.g. savings plans, resource sizing, usage patterns)
Build internal dashboards and simple tools to make cloud cost data accessible to engineering, finance, and sales
Support internal teams with data for pricing, deal modeling, and infrastructure planning

Requirements

Strong analytical skills and experience working with Python and SQL
Experience analyzing large datasets and building reports or dashboards
Familiarity with public cloud platforms (AWS, GCP, or Azure) and a basic understanding of infrastructure components such as compute, load balancing, and serverless workloads
Ability to translate technical usage data into cost models, forecasts, or business insights
Comfortable working with engineers and understanding how cloud architecture and resource usage affect cost
Experience working with modern data platforms (e.g. Snowflake or similar)

Nice to have

Experience with cloud cost analysis, FinOps, or infrastructure cost modeling
Experience working in cloud engineering, DevOps, or infrastructure-heavy environments
Familiarity with cloud billing tools or cost management tools (AWS Cost Explorer, GCP Billing, etc.)
Experience with forecasting, budgeting, or usage modeling

Benefits

Shape the future of AI infrastructure
Work with a globally distributed, high-talent team
Competitive compensation + equity
Remote-first culture

Candidates, please submit a short non-AI-generated cover letter and explain why you think you are a great fit for this role.

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