The opportunity
Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences…
What you'll do
Build and maintain the monthly/weekly cloud and AI cost forecast, reconciling: actuals against plan and explaining variance drivers to leadership.
Track AI spend by category and by model/provider mix, flagging shifts in: usage or pricing that affect the forecast.
Partner with Infrastructure and AI Platform engineering teams to size,: validate, and prioritize efficiency initiatives (model routing, token optimization, provider migration).
Own migration-tracking reporting (e.g., provider mix shifts, cost impact of: model changes) and ensure the underlying data is traceable back to source systems.
Prepare and present cost updates to a broad, senior audience, translating: technical usage data into clear financial narratives.
Identify and quantify new cost efficiency opportunities in partnership with: technical stakeholders, and track them through to landed savings.
What they're looking for
- Run monthly and ad hoc reviews with Finance and Tech leadership
- years of finance, FP&A, or cost management experience, ideally including: direct exposure to cloud infrastructure costs
- Prior experience with AI/ML infrastructure costs strongly preferred.
- Demonstrated ability to build and maintain complex financial models and: forecasts in ambiguous, fast-changing environments.