About The Position

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.

Requirements

  • 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 Haves

  • 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

Responsibilities

  • 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
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