## About the Role

We are seeking a Senior FinOps Analyst to support engineering and R&D teams with cloud cost guidance, spend analysis, and optimization. The role sits within Cloud Economics and focuses on helping teams understand current and upcoming spend, identify cost-saving opportunities, and improve forecasting accuracy.

A key part of the position is acting as a day-to-day resource for APAC-based teams, with coverage required during APAC business hours and overlap with PST and afternoon CST. You will work closely with engineering stakeholders to answer questions, investigate anomalies, review monthly spending patterns, and support recurring cost reporting.

This role also contributes to cloud and AI/LLM spend visibility, showback reporting, and cost awareness efforts. It requires strong analytical skills, clear written communication, and the ability to translate spend data into practical recommendations for team owners.

## Key Responsibilities

– Serve as the main contact for R&D teams requesting cloud cost support through Slack and other asynchronous channels.
– Partner proactively with spending teams, especially APAC-based colleagues, to review monthly cloud usage, identify opportunities, and understand upcoming engineering plans.
– Monitor cloud and AI/LLM spend for anomalies, spikes, and inefficiencies.
– Investigate variances, prepare written root-cause analyses, and document findings and recommendations in Jira.
– Participate in the monthly forecasting cycle by aligning central forecasts with team-level projections and capturing team plans and assumptions.
– Contribute FinOps input, including AI/LLM cost drivers, to showback reporting and meetings with top-spending R&D teams.
– Support Cloud Economics cost awareness and education efforts.
– Maintain and update the Cloud Economics wiki space.
– Model team cost projections and respond to support requests via Slack, email, and other channels.

## Required Skills

– 4+ years of experience in FinOps.
– Strong cloud cost management and optimization expertise.
– Experience investigating spend anomalies and producing written root-cause analyses.
– Experience advising and consulting directly with R&D or engineering teams.
– Cloud cost forecasting experience, including aligning central forecasts with team-level projections.
– Familiarity with OpenAI/LLM cost drivers and monitoring LLM spend.
– Experience with cost modeling and team investment or project tracking.
– Proficiency with Jira for documentation and Slack for real-time and asynchronous support.
– Experience maintaining technical documentation or wiki spaces.
– Experience contributing to recurring reporting such as showback.
– Strong written and verbal communication skills.
– Availability to cover APAC business hours with required overlap for PST and afternoon CST.
– Upper-intermediate English level.
– Authorization to work for any employer in the US.

## Preferred Skills

– AI/LLM governance expertise.
– AI/LLM variable cost management expertise.

## Cloud Platforms & Technologies

### Collaboration Tools
– Slack
– Jira

### Cloud / FinOps Domains
– Cloud cost management
– Cloud cost optimization
– Cloud cost forecasting
– Showback
– OpenAI / LLM cost monitoring
– AI/LLM governance
– AI/LLM variable cost management

## FinOps Responsibilities

– Support cloud cost optimization efforts across engineering and R&D teams.
– Investigate cost anomalies and spikes, including structured root-cause analysis.
– Review monthly cloud spend with key teams and identify actionable opportunities.
– Align central forecasts with team-level projections during the monthly forecasting cycle.
– Capture and document assumptions, plans, and emerging spend patterns.
– Contribute to showback reporting and top-spending team reviews.
– Monitor cloud and AI/LLM cost drivers and maintain visibility into spend trends.
– Model team cost projections and support investment and project tracking.

## Benefits

– 100% remote work.
– Flexible hours.
– Annual learning budget.
– Mentorship and internal TechTalks.
– Challenging projects with modern technologies.
– Regular performance and compensation reviews.
– Local well-being programs and people-focused support.

## Why You Might Be Interested

This role offers the chance to work directly with engineering and R&D teams on practical cloud cost decisions that affect planning, forecasting, and spend control. It is a hands-on FinOps position with exposure to cloud and AI/LLM cost monitoring, showback reporting, and stakeholder advisory. The work is remote and includes flexible hours, regular review cycles, and a dedicated learning budget. If you enjoy combining analysis, communication, and operational follow-through, this position provides a broad and visible scope.