Senior Financial Operations Analyst

AgileEngine; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

AgileEngine is seeking a Senior FinOps Analyst to advise engineering teams on cloud costs and optimization, with a schedule aligned to APAC business hours and overlapping PST/CST. The role focuses on cost forecasting, anomaly analysis, and governance of AI/LLM spend.

You will partner with R&D teams, surface actionable opportunities, and contribute to showback reporting while maintaining clear documentation in Jira and on the wiki. Strong English skills required.

Qualifications

• 4+ years of FinOps experience.
• Strong cloud cost management and optimization.
• Investigate spend anomalies and produce root-cause analyses.
• Partner-facing advisory with R&D/engineering teams.
• Cloud cost forecasting with team alignment.
• Familiarity with OpenAI/LLM cost drivers.
• Proficient in Jira and Slack for investigations and communications.
• Availability to cover APAC business hours with PST/CST overlap.

Responsibilities

• Serve as primary contact for R&D cloud cost guidance via Slack and other channels.
• Review monthly cloud spend with APAC-based colleagues; surface cost opportunities and document notes.
• Monitor cloud and AI/LLM spend for anomalies; perform root-cause analyses and provide optimization recommendations.
• Participate in monthly forecasting; align central forecasts with team projections; document notes.
• Contribute to showback reporting and cost-driver understanding.
• Support Cloud Economics wiki maintenance and cost-awareness initiatives.
• Model team cost projections and respond to support requests via Slack and email.

Skills

FinOps

Cloud cost management

Forecasting

Anomaly analysis

Stakeholder advisory

Reporting

Communication

English proficiency

Tools

Jira

Slack

Job description

We are looking for a Senior FinOps Analyst to advise engineering teams on cloud costs and optimization. This role requires a schedule that covers APAC business hours (evening/night shift in LATAM/US), including a necessary overlap with PST and afternoon CST.

Mandatory requirements include 4+ years of experience in FinOps, cloud cost optimization, forecasting, anomaly analysis, LLM cost monitoring, cost modeling, stakeholder advisory, and reporting, along with an upper-intermediate level of English. Experience with AI/LLM governance is a strong plus.

What you will do

• Serve as the primary point of contact for R&D teams seeking cloud cost guidance, triaging and answering inbound questions in real time via the team's Slack channel and other asynchronous channels.
• Conduct proactive, consultative engagement with key spending teams, especially APAC-based Indeed colleagues — to review monthly cloud spending, surface actionable cost opportunities, and understand upcoming engineering roadmap delivery plans before they become budget surprises; capture meeting notes and summaries with recommendations on top recurring questions and emerging cost patterns.
• Proactively monitor cloud and AI/LLM spend for anomalies, cost spikes, and inefficiency patterns; conduct structured investigations into flagged variances, produce written root-cause analyses, and deliver actionable optimization recommendations to team owners, documenting the work on Jira tickets and flagging items for the monthly reporting.
• Participate in the monthly forecasting cycle, engaging directly with assigned R&D teams to align Cloud Economics' central forecasts with team-level projections, surface discrepancies, and document team plans and intent for upcoming spend; produce monthly forecast engagement notes per assigned team cohort.
• Contribute a FinOps practitioner perspective and team-sourced information, including AI/LLM cost drivers, to showback reporting and top spending R&D team meetings, maintaining an understanding of cost drivers.
• Support Cloud Economics Cost Awareness and Cost Education efforts, and audit and update the Cloud Economics space on the wiki.
• Model team cost projections and respond to customer help requests via Slack, email, and other channels.

Must haves

• You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time.
• 4+ years of experience in FinOps.
• Strong cloud cost management and optimization expertise.
• Proven ability to investigate spend anomalies and produce written root-cause analyses.
• Experience serving as a partner-facing resource, advising and consulting directly with R&D/engineering teams.
• Cloud cost forecasting experience, including aligning central forecasts with team-level projections.
• Familiarity with OpenAI/LLM cost drivers and monitoring LLM spend.
• Cost modeling and team investment/project tracking.
• Proficiency with Jira for documenting investigations and Slack for real-time, asynchronous support.
• Experience in maintaining technical documentation/wiki spaces and contributing to recurring reporting, such as Showback.
• Strong written and verbal communication for stakeholder engagement and reporting.
• Availability to cover APAC business hours with necessary PST and afternoon CST overlap.

Nice to haves

• AI/LLM governance expertise.
• Growth without limits: build your skills through mentorship, internal TechTalks, challenging projects, and a dedicated annual learning budget
• Competitive compensation: get recognition that reflects your skills and impact, with regular performance and compensation reviews
• Flexibility: work 100% remotely with flexible hours that support focus, autonomy, and a healthy work rhythm
• Meaningful, modern projects: build impactful products using modern technologies alongside global teams and leading brands
• Collaborative culture: join a supportive environment with zero micromanagement where ideas are welcomed and contributions are recognized
• Well-being & support: access local well-being programs and people-focused support tailored to your location