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Advise engineering teams on cloud and AI/LLM cost optimization, investigate spend anomalies, produce root-cause analyses, align forecasts, model team costs, and support showback reporting. Serve as a partner-facing FinOps resource through Slack, Jira, documentation, recurring reporting, cost-awareness initiatives, and direct consultation with R&D teams across APAC, PST, and CST schedules.
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
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.
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.
- Upper-intermediate English level.
NICE TO HAVES
- AI/LLM governance expertise.
- AI/LLM variable cost management expertise.
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 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 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 Cost Awareness and Cost Education efforts, and audit and update the relevant space on the wiki.
- Model team cost projections and respond to customer help requests via Slack, email, and other channels.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
