Jump AI is transforming how teams operate by leveraging AI-powered workflows, automation, and data-driven insights. We sit at the intersection of product, growth, and operations—helping organizations move faster, smarter, and more efficiently.

Role Overview

We’re looking for a RevOps Analyst to help scale Jump AI’s revenue engine by building systems, insights, and processes that align Sales, Marketing, and Customer Success.

This role is highly cross-functional and data-driven—you’ll own analytics, tooling, and operational processes that directly impact pipeline generation, conversion, and retention.

Key Responsibilities

Revenue Data & Analytics

• Build and maintain dashboards across the funnel (lead → opportunity → revenue → retention)
• Analyze pipeline health, conversion rates, sales velocity, and forecasting accuracy
• Identify trends, gaps, and opportunities to improve revenue performance
• Partner with GTM leaders to drive data-backed decisions
  
  

Systems & Tooling

• Own and optimize CRM (e.g., Salesforce / HubSpot)
• Manage and improve integrations across tools such as:
• Marketing automation (e.g., HubSpot, Marketo)
• Sales engagement (e.g., Outreach, Salesloft)
• Data enrichment (e.g., Clearbit, Apollo)
• Analytics / BI (e.g., Looker, Mode, Snowflake, dbt)
• Ensure data integrity, governance, and clean pipeline reporting
  
  

Process Optimization

• Design and improve GTM processes (lead routing, lifecycle stages, SLAs)
• Partner with Sales, Marketing, and CS to eliminate friction across the funnel
• Document and standardize operational workflows
  
  

Forecasting & Planning

• Support revenue forecasting and pipeline modeling
• Assist in territory planning, quota setting, and capacity modeling
• Help evaluate performance vs. plan and recommend adjustments
  
  

Experimentation & Growth

• Support A/B testing and experimentation across funnel stages
• Measure impact of campaigns, product launches, and GTM initiatives
• Collaborate with Growth/Product teams on data-driven initiatives
  
  

Required Qualifications

• 2–5 years in RevOps, Sales Ops, Marketing Ops, or Business Analytics
• Strong analytical skills (SQL preferred; Excel/Sheets required)
• Experience with CRM systems (Salesforce or HubSpot)
• Familiarity with SaaS metrics (ARR, MRR, CAC, LTV, conversion rates)
• Experience working cross-functionally with GTM teams
• Strong attention to detail and data quality
  
  

Nice-to-Have

• Experience with modern data stack (Snowflake, dbt, Segment, etc.)
• Experience with AI/automation tools (or strong interest in AI workflows)
• Familiarity with product-led growth (PLG) or hybrid sales motions
• Experience building dashboards in Looker, Tableau, or similar
• Exposure to API integrations or lightweight scripting
  
  

Compensation Range: $85K - $115K