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About the Role

This role manages and optimizes cloud expenses within the Engineering organization, focusing on AWS infrastructure, Snowflake data platforms, and OpenAI/Anthropic API utilization. The analyst tracks consumption data, creates financial models, and collaborates with engineering teams to build cost-efficient systems.

Responsibilities

• Build and manage cost models tracking spend across OpenAI and Anthropic, breaking down costs by application, prompt/response tokens, and model types.
• Audit Snowflake utilization to optimize virtual warehouse sizing, auto-suspend settings, and data storage lifecycles.
• Track utilization trends to assist leadership in evaluating capacity purchases and pricing models for specialized vendors.
• Monitor AWS consumption and propose optimization strategies, including infrastructure rightsizing and managing Savings Plans and Reserved Instances.
• Build real-time alerting systems to identify spending spikes.
• Develop and implement cloud governance guidelines and tagging policies to ensure accurate expense allocation across engineering teams.
• Create and maintain financial reports, variance analyses, and dashboards using QuickSight to communicate expense trends to stakeholders.
• Develop data-driven forecasts and annual budgets for cloud and AI expenses based on engineering product roadmaps.
• Coordinate with engineering, data, and finance teams to negotiate vendor pricing and align technical operations with budget guidelines.

Requirements

• A minimum of 6–7 years of professional experience in cloud financial management, technology systems analysis, or engineering operations.
• Understanding of Snowflake credit structures and LLM pricing metrics (input/output tokens, context windows).
• Knowledge of core AWS services, pricing models, and native cost management tools.
• Proficiency in SQL and Python to extract and manipulate raw cloud billing data and API transaction logs.
• Experience building technical dashboards in QuickSight or equivalent BI utilities.
• Experience applying FinOps principles to consumption-based cloud and software services.
• Competency in budgeting, forecasting, variance analysis, and ROI calculation.
• Ability to translate complex cloud billing data into clear, actionable technical tasks for software and data engineers.
• Analytical skills focused on solving optimization problems and reducing waste through automated solutions.
• Candidates must be legally authorized to work in the United States without sponsorship now or in the future.
• DISCO is not currently sponsoring visas, including, but not limited to, H-1B, TN, or EAD, and we are not accepting visa transfers.

Skills

• AWS Infrastructure
• Data Analysis
• Data Visualization
• FinOps Practices
• Financial Modeling
• Technical Communication
• Quantitative Analysis
• SQL
• Python
• QuickSight

Location

• U.S.

Work Type

• Full-time

Experience Level

• 6-7 years

Salary/Compensations

• Competitive salary plus RSUs

Benefits

• Medical, dental and vision insurance
• 401(k)
• Flexible PTO

About the Company

• DISCO provides a cloud-native, artificial intelligence-powered legal solution that simplifies ediscovery, legal document review and case management for enterprises, law firms, legal services providers and governments.
• Our scalable, integrated solution enables legal departments to easily collect, process and review enterprise data that is relevant or potentially relevant to legal matters.
• At DISCO, we believe AI is a core enabler of how work gets done.
• All employees are expected to proactively adopt and responsibly use AI tools to drive efficiency, improve outcomes, and continuously evolve how they operate in their role.
• Are you ready to help us fulfill our mission to use technology to strengthen the rule of law? Join us!

Equal Opportunity

• We are an equal opportunity employer and value diversity.
• We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.