About Monte Carlo
As businesses increasingly rely on data + AI for competitive advantage, reliability has become a non-negotiable. Named a CBInsights AI100 company and described by Forbes as the "New Relic for data", Monte Carlo supports some of the world's most prestigious companies, including Fox, Roche, Honeywell, and CreditKarma to deliver trustworthy data + AI at scale.
Backed by Accel, Redpoint Ventures, Notable Capital, ICONIQ Growth, and Salesforce Ventures, Monte Carlo is powering the future of reliable data + AI.
About the RoleWe are looking for a data-driven Revenue Operations (RevOps) Analyst to support our go-to-market (GTM) teams by leveraging Salesforce (SFDC), Looker, SQL, and Snowflake to analyze revenue performance, optimize processes, and drive operational efficiency. This role will work cross-functionally with sales, marketing, customer success, and finance to provide actionable insights, improve reporting capabilities, and enhance data-driven decision-making.
ResponsibilitiesData Analysis & Reporting: Develop dashboards and reports in Looker, SFDC, and Snowflake to track key revenue and sales metrics.
SQL & Data Management: Write SQL queries to extract, manipulate, and analyze data from Snowflake and other databases.
Salesforce (SFDC) Optimization: Maintain and improve Salesforce data integrity, automate workflows, and optimize sales processes.
Pipeline & Forecasting: Support revenue forecasting, pipeline analysis, and performance tracking for sales and GTM teams.
Process Improvement: Identify inefficiencies in revenue operations and recommend scalable solutions.
Cross-functional Collaboration: Work with sales, marketing, and finance to ensure accurate and aligned revenue reporting.
Data Governance & Integrity: Ensure data quality, consistency, and compliance across systems.
4+ years of experience in a Revenue Operations, Sales Operations, or Business Intelligence role.
Hands-on experience with SQL (querying, data manipulation, and optimization).
Experience with Salesforce (SFDC) administration and reporting.
Strong proficiency in Looker and LookML (building dashboards, reports, and visualizations).
Familiarity with Snowflake or other cloud-based data warehouses.
Strong analytical skills with the ability to interpret data and provide actionable insights.
Excellent problem-solving skills and attention to detail.
Ability to work cross-functionally and communicate effectively with technical and non-technical stakeholders.
Experience with revenue forecasting and GTM analytics.
Familiarity with additional BI tools (Tableau, Power BI, etc.).
Knowledge of revenue lifecycle, lead-to-cash processes, and sales funnel optimization.
Experience with scripting languages for data analysis is a plus.
Work in a data-driven, fast-growing environment.
Collaborate with a high-performing team to shape revenue strategy.
Opportunity to influence GTM decisions with deep data insights.
Competitive salary, benefits, and professional growth opportunities.
#LI-REMOTE
#BI-REMOTE
Come As You Are
Equality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.
Monte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
We are proud to be recognized for our world-class employee experience:
Monte Carlo Named to American's Most Loved Workplace List 2024
Monte Carlo Named an Inc. Best Workplace for 2024
Monte Carlo Named A Top 20 ORG For Venture Capital Funded Companies, Spring 2024
Monte Carlo Named A Top 5 ORG in San Francisco, Spring 2024
What the Team is Saying
What We Do
As businesses increasingly rely on data and AI to power digital products and drive better decision-making, it's mission-critical that this data is accurate and reliable. Monte Carlo, the data + AI observability leader, is the creator of the industry's first end-to-end Data & AI Observability platform. Our mission is to enable the world's enterprises to adopt trusted AI. In 2025, Monte Carlo launched Agent Observability — the first capability to unify observability across both data and AI stacks in a single platform — enabling teams to monitor, trace, and troubleshoot enterprise AI agents in production. A Forrester Total Economic Impact study found that Monte Carlo delivers a 358% return on investment. Recognition and awards: Named a CBInsights AI100 company and the "New Relic for data" by Forbes. G2 #1 Data Observability Platform for eight consecutive quarters. G2 Best Software Product of 2026. 2025 Databricks Data Governance Partner of the Year. DBTA Readers Choice for Best Data Observability Solution 2024 and DBTA Trend-Setting Product for 2025. We've raised $236M from Accel, ICONIQ Growth, Redpoint Ventures, IVP, and Salesforce Ventures. Data-driven companies like NASDAQ, Honeywell, Roche, Fox, American Airlines, and PepsiCo trust Monte Carlo to deliver reliable data and AI at scale.
Why Work With Us
A Built In 2026 Best Place to Work, Inc. Best Workplace 2024, and Newsweek Most Loved Workplace. We're remote-first, solving one of the biggest problems in the AI era: trust. We build fast, ship bold, and have a great time doing it. Come help the world adopt trusted AI.
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Monte Carlo Teams
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Remote Workspace
Employees work remotely.
