# Senior FP&A Analyst, Cloud Hosting at GitLab

- Company: GitLab
- What the company does: The intelligent orchestration platform for DevSecOps, enabling teams and agents to ship trusted software at enterprise scale. Backed by General Catalyst and Khosla.
- Company website: https://about.gitlab.com/
- Type: Startups
- Level: Senior
- Location: Remote, Canada; Remote, United States
- Work setup: Remote
- Posted: 2026-08-25
- Apply by: 2026-10-12
- Apply: https://job-boards.greenhouse.io/gitlab/jobs/8731564002
- Page: https://www.1752.vc/careers/jobs/gitlab-senior-fp-and-a-analyst-cloud-hosting/

## About the role

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. The same principles that shape our products guide how our team works: we embrace AI as a core productivity multiplier, and all team members incorporate AI into their daily workflows to drive efficiency, innovation, and impact.

## What they're looking for

- Manage and report on cloud and AI-related expenses, maintaining forecast models that incorporate actual results, usage drivers, and business drivers
- Execute recurring month-end close activities, including accruals, allocations, reconciliations, variance analysis, and close commentary
- Support forecasting and annual planning cycles, and build or enhance financial models to answer new and evolving business questions
- Partner with engineering, product, procurement, accounting, and finance stakeholders to gather inputs, resolve data questions, explain results, and support spending decisions
- Access and analyze cloud billing information from provider consoles, billing exports, and other data sources, then translate findings into clear narratives, recommendations, and decision-support materials
- Use AI tools to automate and improve recurring analysis, reporting, data preparation, and other finance workflows while improving data quality, accuracy, scalability, and operating efficiency

Tags: FP&A