Responsibilities:
Build a tool that project owners can use on their own, without asking FinOps every time.
Let users change these inputs: which model, how many transactions per day, average tokens in, average tokens out, and how much will be cached.
Make the tool simple enough for a non-technical project owner to use.
Build and tune the cost formula so the estimate is as close as possible to real production cost.
Include the effects of caching, retries and other overhead in the estimate.
Add new models to the tool when they become available.
Change prices when vendors change them, and keep a clear version history of the price list.
After a project goes live, compare the forecast with the real cost from the FinOps platform.
Find where the formula was wrong and fix it.
Report forecast accuracy so users know how much to trust the numbers.
Work with the Agentic AI Platform team to bundle this tool into the main platform.
Share the forecast numbers with whoever is pricing work for customers.
Qualification:
Bachelor's degree or higher in Computer Engineering, Computer Science, Data Science, Statistics or a related field.
3-5 years of experience in software engineering, data science or analytics engineering, including building tools that other people use.
Experience building cost, pricing or capacity models and checking them against real data.
Experience delivering a web tool or API used by non-technical users.
Experience with LLM applications and how their cost behaves is a strong advantage.