Revenue Operations Analyst

Our Guiding Stars are the values at the heart of our organization that drive everything we do. We are committed to creating meaningful change not only in our industry but also in the communities we engage with. If our Guiding Stars resonate with you, we encourage you to consider joining our team.

• Drive Results: We think big, work smart, and execute fast to transform the future of commerce
• Cultivate Belonging: We welcome diverse backgrounds and experiences, driving positive change through inclusion and teamwork
• Champion Customers: We go the extra mile for our customers to help them unlock their full potential
• Adapt Boldly: We're curious and innovative, we take risks and grow from our failures
  

The Opportunity:

We’re looking for a detail-oriented and data-driven Revenue Operations Analyst, reporting to the VP of Revenue Operations, you will support the global GTM organization. Key responsibilities include leading the commission process, driving AI-enabled RevOps transformation, and supporting training initiatives. Your mission is to connect people, processes, and data — leveraging AI tools and insights to streamline workflows, improve decision-making, and accelerate revenue growth. You will work cross functionally with Sales, Finance, HR to ensure accurate and timely compensation calculations and statements. 

You are an ideal candidate if you think two steps ahead, are a true team player, and can work under pressure without losing sight of detail and business guidelines.

Your Mission:

• Own and manage all commission calculations & inquiries. Calculating and auditing commissions monthly to ensure accuracy and compliance
• Support designing, modeling, implementing and maintaining variable compensation plans in partnership with finance and HR teams.
• Optimize commission technology by embedding AI-driven error detection, predictive accrual models, and scenario simulations to reduce gaps and improve scalability.
• Streamline processes and timelines in line with strategy and cross-functional teams.
• Partner with Finance to use machine learning forecasting models to anticipate commission expense trends and validate payouts.
• Become an expert user across the GTM tech stack and champion AI-powered features (e.g., predictive analytics around opportunity scoring, natural language query dashboards, Gemini AI Agents).
• Develop and own the RevOps training agenda covering tools, processes, and AI literacy — ensuring GTM teams adopt automation and insights effectively.
• Create AI-enabled playbooks to guide AEs, FLMs, and BDRs in areas such as pipeline hygiene, opportunity qualification, and forecast accuracy.
• Embed AI into the day-to-day of GTM and RevOps, such as:
• Pipeline health monitoring with anomaly detection.
• Churn prediction models for Customer Success.
• Deal scoring and prioritization using predictive analytics
• Territory optimization between account assignments and REP location
• Automated dashboarding for real-time performance insights and forecast accuracy
• Provide assistance to internal stakeholders during rollout of initiatives and strategic projects, especially AI-driven pilots and process redesigns.
• Support GTM stakeholders with day-to-day inquiries, including AI-assisted data exploration and reporting.

What you need to succeed:

• Bachelor’s degree in Business, Finance, Data Analytics, or a related field.
• Experience in Commissions, sales operations, data analytics, or a similar analytical role.
• Proficiency in CRM software (e.g., Salesforce) and data analysis tools (e.g., Excel/Google Sheets)
• Experience using Commissions software (eg. Xactly, Captivate, SPIFF) and AI functionality in these tools
• Strong analytical and problem-solving skills, with attention to detail and the ability to interpret complex data into actionable insights.
• Excellent communication skills and ability to work efficiently with cross functional teams in a fast paced, high growth environment
• Curiosity and openness to adopting new AI-driven approaches to improve workflows and drive deeper analytical insights. 

Nice to have:

• Prior experience in a SaaS or high-growth technology company
• Familiarity with GTM tech stack (productivity, intelligence, forecasting, etc.).
• Experience with AI tools (e.g., ChatGPT, Gemini, Clari, Outreach, Gong, etc.).
• Basic coding skills (SQL, Python, R) to interact with data pipelines and train/test AI models.
  

*Please note that the salary listed pertains to base pay