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