FP&A Manager
Sentry
ABOUT SENTRY
Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building.
Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future.
ABOUT THIS ROLE
At Sentry, Finance plays a critical role in helping the company understand where we're investing, what we're getting in return, and where we can operate more effectively.
We are looking for an FP&A Manager who will help build Sentry's FP&A function while focusing on establishing best-in-class FinOps practices. You'll partner across the business on forecasting and financial analysis, with a significant focus on cloud infrastructure, AI costs, vendor spend, and other areas where better financial visibility can translate directly into better decisions.
You will be expected to understand the economics behind our infrastructure, build the financial models and reporting needed to manage it, identify meaningful opportunities, and work with Engineering and other partners to turn those insights into action.
You'll also operate as a generalist FP&A partner and play an important role in building the processes, models, and operating rhythms that Finance will use as Sentry grows.
You will report to the Director of FP&A.
IN THIS ROLE YOU WILL
- Own forecasting, reporting, and financial analysis for significant areas of Sentry's operations, with particular emphasis on cloud infrastructure, AI-related spend, software, vendors, and other major cost categories.
- Partner closely with Engineering and infrastructure leaders to understand the drivers of cloud and AI spend, translate technical consumption into financial forecasts, and identify opportunities to improve unit economics and gross margin.
- Develop reporting that makes cloud and infrastructure costs understandable and actionable, including trends, cost allocation, unit costs, utilization economics, commitments, and significant variances.
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