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RevOps Leader

Job in Mount Pleasant, Charleston County, South Carolina, 29466, USA
Listing for: Omatic
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Overview

Own and scale Omatic’s revenue operations function by translating company strategy into repeatable systems, processes, and insights that drive predictable growth across all revenue segments.

Responsibilities

Sales Forecasting, Analytics & Reporting

  • Develop and maintain sales analytics reports/dashboards and apply quantitative analysis/data visualization to provide actionable insights that support data-driven decision-making for the sales and executive leadership teams
  • Manage sales quota forecasting and partner with sales to lead territory planning
  • Define and evolve operational performance metrics and resources
  • Own the GTM forecasting inputs into FP&A, translating pipeline health, bookings pacing, retention trends, and capacity assumptions into consistent, system-driven forecast views
  • Lead capacity, territory, and coverage planning analysis, incorporating AE ramp curves, quota deployment, productivity trends, account distribution, and whitespace to inform hiring, quota setting, and resource allocation
  • Oversee bookings, retention, and churn modeling, synthesizing cohort behavior, renewal pipelines, expansion patterns, and leading risk indicators to support forward-looking revenue planning
  • Set standards for AE performance reporting and analysis, ensuring consistent visibility into attainment, pipeline quality, deal mix, discounting behavior, and productivity versus expectations

Revenue Tech Stack Architecture & Requirements

  • Turn business questions into clear Salesforce and Gong requirements, working closely with a Salesforce Admin, and designing clean stage flows, data rules, and reporting that reinforce the right sales behaviors

Tactical Operations

  • Design and optimize lead lifecycle management from MQL to closed-won
  • Demand & campaign operations: standardize UTM taxonomy, campaign naming, attribution (first, last, multi-touch), and cost capture across Hub Spot and Salesforce; connect ad platforms, ingest and reconcile spend, and manage event/webinar operations and statuses
  • Lead lifecycle, scoring, and governance: own lead/account scoring, segmentation, personas, tiers, and suppression rules; design and manage routing, recycling, SLAs, and clean automated handoffs between Hub Spot and Salesforce
  • Ensure scalable order-to-cash workflows in partnership with Finance and Sales Ops
  • Define data quality standards and accountability across teams and apply data cleansing techniques to improve the quality and accuracy of contacts and accounts databases and develop processes
  • Campaign operations and attribution: standardize UTM taxonomy, campaign naming, and member statuses; implement first/last touch plus multi-touch attribution in Hub Spot and Campaign Influence in Salesforce
  • Lead lifecycle governance: build and manage routing and recycle rules; develop reports to govern acceptance SLAs; build and manage clean and automated handoffs between Hub Spot and Salesforce
  • Scoring and segmentation: build and maintain lead/account scoring, persona and tier models, and suppression rules
  • Channel ops and cost capture: connect ad platforms, ingest spend to campaigns, reconcile cost fields in SF/HS; track event/webinar ops and statuses
  • Process & Systems Architecture, Improvement, and Implementation
  • Improve overall sales performance through process improvement, system enhancements and best practice sharing
  • Facilitate Sales Leadership’s understanding of process bottlenecks and inconsistencies to implement data enrichment processes to improve sales team’s performance
  • Assist in process improvement and manage all aspects of Salesforce CRM and Gong including workflow, reporting, data integrity and maintenance
  • Engage and work with aligned operations teams and lines of business to achieve data needs and analysis results more effectively
  • Partner with IT teams to understand new capabilities available in Salesforce and Gong and assist in training sales representatives to use these capabilities

Recruiting Points

Personal Competencies

  • Strong analytical skills and engineering mindset with attention to detail
  • Ability to think broadly with strong conceptual ability, with natural curiosity and propensity to learn rapidly
  • Strong written and verbal…
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