Revenue Operations Analyst (AI)

Company

Developing agentic AI products and enterprise systems that help businesses turn knowledge into action.

What you will do

• Own and improve processes for leads, accounts, contacts, and opportunities throughout the revenue funnel.
• Maintain attribution, routing, territory rules, ownership logic, and exception handling across go-to-market motions.
• Build Salesforce reports, dashboards, fields, flows, validation rules, and other process configurations.
• Improve pipeline reviews and forecasting through stronger opportunity hygiene, stage accuracy, and follow-through.
• Develop reporting on funnel conversion, pipeline health, source performance, rep productivity, and operational SLAs.
• Investigate data quality issues, automate repetitive work with AI, and partner on integrations, testing, rollout, documentation, and user support.

Requirements

• Must work from San Francisco, California, or New York, New York, USA.
• 3+ years of experience in Revenue Operations, Sales Operations, Marketing Operations, Business Systems, or a similar role at a high-growth B2B company.
• Hands-on Salesforce experience with reports, dashboards, data models, flows, validation rules, and process configuration.
• Strong SQL and analytical skills, including independent data extraction, discrepancy reconciliation, and action-oriented analysis.
• Understanding of B2B sales processes, attribution, routing, account ownership, opportunity stages, pipeline inspection, and forecasting inputs.
• Strong troubleshooting, project leadership, communication, attention to detail, and interest in AI automation.

Culture & Benefits

• Early, high-impact role supporting enterprise go-to-market operations.
• Access to AI tools for research, enrichment, routing, pipeline inspection, quality assurance, documentation, and automation.
• Cross-functional collaboration with Sales, Marketing, Customer Success, Finance, Analytics, Enterprise Systems, and Sales Systems Engineering.
• Opportunity to improve operational systems and reduce manual work across the revenue organization.