Cloud FinOps Analyst
Your Impact
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.
What You'll Do
GenAI Cost Modeling: Build and manage cost models tracking spend across OpenAI and Anthropic, breaking down costs by application, prompt/response tokens, and model types.
Snowflake Resource Management: Audit Snowflake utilization to optimize virtual warehouse sizing, auto-suspend settings, and data storage lifecycles.
Vendor Contract Optimization: Track utilization trends to assist leadership in evaluating capacity purchases and pricing models for specialized vendors.
AWS Cost Optimization: Monitor AWS consumption and propose optimization strategies, including infrastructure rightsizing and managing Savings Plans and Reserved Instances.
Anomaly Detection: Build real-time alerting systems to identify spending spikes.
Tagging & Policy Enforcement: Develop and implement cloud governance guidelines and tagging policies to ensure accurate expense allocation across engineering teams.
Reporting & Dashboards: Create and maintain financial reports, variance analyses, and dashboards using QuickSight to communicate expense trends to stakeholders.
Budgeting & Forecasting: Develop data-driven forecasts and annual budgets for cloud and AI expenses based on engineering product roadmaps.
Cross-Functional Alignment: Coordinate with engineering, data, and finance teams to negotiate vendor pricing and align technical operations with budget guidelines.
Who You Are
A minimum of 6–7 years of professional experience in cloud financial management, technology systems analysis, or engineering operations
Platform Knowledge: Understanding of Snowflake credit structures and LLM pricing metrics (input/output tokens, context windows).
AWS Infrastructure: Knowledge of core AWS services, pricing models, and native cost management tools.
Data Analysis: Proficiency in SQL and Python to extract and manipulate raw cloud billing data and API transaction logs.
Data Visualization: Experience building technical dashboards in QuickSight or equivalent BI utilities.
FinOps Practices: Experience applying FinOps principles to consumption-based cloud and software services.
Financial Modeling: Competency in budgeting, forecasting, variance analysis, and ROI calculation.
Technical Communication: Ability to translate complex cloud billing data into clear, actionable technical tasks for software and data engineers.
Quantitative Analysis: Analytical skills focused on solving optimization problems and reducing waste through automated solutions.
Authorization to Work in the U.S.: 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.
Perks of DISCO
Open, inclusive, and fun environment
Benefits, including medical, dental and vision insurance, as well as 401(k)
Competitive salary plus RSUs
Flexible PTO
Opportunity to be a part of a company that is revolutionizing the legal industry
Growth opportunities throughout the company
About DISCO
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!
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.
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.
What You'll Do
GenAI Cost Modeling: Build and manage cost models tracking spend across OpenAI and Anthropic, breaking down costs by application, prompt/response tokens, and model types.
Snowflake Resource Management: Audit Snowflake utilization to optimize virtual warehouse sizing, auto-suspend settings, and data storage lifecycles.
Vendor Contract Optimization: Track utilization trends to assist leadership in evaluating capacity purchases and pricing models for specialized vendors.
AWS Cost Optimization: Monitor AWS consumption and propose optimization strategies, including infrastructure rightsizing and managing Savings Plans and Reserved Instances.
Anomaly Detection: Build real-time alerting systems to identify spending spikes.
Tagging & Policy Enforcement: Develop and implement cloud governance guidelines and tagging policies to ensure accurate expense allocation across engineering teams.
Reporting & Dashboards: Create and maintain financial reports, variance analyses, and dashboards using QuickSight to communicate expense trends to stakeholders.
Budgeting & Forecasting: Develop data-driven forecasts and annual budgets for cloud and AI expenses based on engineering product roadmaps.
Cross-Functional Alignment: Coordinate with engineering, data, and finance teams to negotiate vendor pricing and align technical operations with budget guidelines.
Who You Are
A minimum of 6–7 years of professional experience in cloud financial management, technology systems analysis, or engineering operations
Platform Knowledge: Understanding of Snowflake credit structures and LLM pricing metrics (input/output tokens, context windows).
AWS Infrastructure: Knowledge of core AWS services, pricing models, and native cost management tools.
Data Analysis: Proficiency in SQL and Python to extract and manipulate raw cloud billing data and API transaction logs.
Data Visualization: Experience building technical dashboards in QuickSight or equivalent BI utilities.
FinOps Practices: Experience applying FinOps principles to consumption-based cloud and software services.
Financial Modeling: Competency in budgeting, forecasting, variance analysis, and ROI calculation.
Technical Communication: Ability to translate complex cloud billing data into clear, actionable technical tasks for software and data engineers.
Quantitative Analysis: Analytical skills focused on solving optimization problems and reducing waste through automated solutions.
Authorization to Work in the U.S.: 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.
Perks of DISCO
Open, inclusive, and fun environment
Benefits, including medical, dental and vision insurance, as well as 401(k)
Competitive salary plus RSUs
Flexible PTO
Opportunity to be a part of a company that is revolutionizing the legal industry
Growth opportunities throughout the company
About DISCO
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!
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.