Data-Driven Sales Operations Lead

NetBox Labs, Inc.

Northern (KY)

Hybrid

USD 110,000 - 180,000

Full time

5 days ago
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Job summary

NetBox Labs, Inc. is seeking a Sr. Sales Operations Manager to drive operational rigor, visibility, and execution across our global sales organization.

You will partner with Sales leadership to improve pipeline management, forecasting, territories, rep productivity, and sales performance. This analytical, hands-on role focuses on scalable sales processes, data-driven insights, and the integration stack with Revenue Operations.

Qualifications

  • 4+ years in Sales Operations, Revenue Operations, or GTM Strategy & Operations at a B2B SaaS company.
  • Experience owning forecast and pipeline motion end-to-end, including territory and quota design.
  • Strong SaaS sales metrics knowledge and pipeline dynamics.
  • Hands-on HubSpot and Salesforce experience with data modeling and QA.

Responsibilities

  • Partner with Sales leadership to manage forecasting, pipeline, and cadences.
  • Build and maintain reporting on pipeline coverage, conversion, productivity, attainment, and forecast accuracy.
  • Analyze sales performance to identify trends, risks, bottlenecks, and opportunities.
  • Support territory design, account segmentation, capacity planning, and ownership processes.
  • Collaborate on quarterly/annual planning including targets and resource allocation.
  • Drive consistent sales processes and stage management across the org.

Skills

Forecasting & analytics
Sales operations
GTM strategy
HubSpot & Salesforce
Data-driven decision making

Tools

HubSpot
Salesforce
Apollo.io
Fathom

Job description

NetBox Labs, Inc. is seeking a Sr. Sales Operations Manager to drive operational rigor, visibility, and execution across our global sales organization.

You will partner with Sales leadership to improve pipeline management, forecasting, territories, rep productivity, and sales performance. This analytical, hands-on role focuses on scalable sales processes, data-driven insights, and the integration stack with Revenue Operations.

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