Jobs · Finance · New York

Revenue Operations (RevOps)

Cogent · New York, NY · 2 mo ago
HybridFinanceFull-time

About the role

Cogent is redefining vulnerability management with an AI-native platform designed to help security teams focus on critical issues. This role is part of a small team reshaping how a security company operates, focusing on growth and analytics.

Responsibilities

  • Right-hand to the Head of Growth, supporting operational rhythms such as pod calls and forecast calls.

  • Surface and shepherd actions needed in the pipeline, ensuring pipeline hygiene and data trustworthiness.

  • Analyze conversion rates across the full funnel, diagnosing stalls and partnering with sales leadership to improve rates.

  • Maintain target account lists per rep per territory, translating the Ideal Customer Profile (ICP) into actionable targeting.

  • Perform weekly closed-lost and deal quality (DQ) analysis, reactivating DQ'd pipeline when necessary.

  • Forecast and revenue plan, making the forecast call a decision-making tool rather than a status update.

  • Support capacity planning as the team scales, including rep productivity, POV prioritization, territory balancing, and resource allocation.

  • Per-rep performance analysis, helping close gaps and designing the sales process alongside sales leadership.

  • Enablement: make the right behavior the easy one, ensuring reps use tools and automation effectively.

  • Special projects: build business cases for new GTM motions, assess risks, and make strategic decisions based on performance data.

Requirements

  • 3-6 years in revenue operations, sales operations, strategy, or GTM operations at a B2B SaaS company.

  • Banking or consulting background that pivoted into tech GTM is highly preferred.

  • Extremely quantitative and analytical, comfortable analyzing data and presenting insights to leadership.

  • Deep CRM expertise (HubSpot or Salesforce), understanding how to design processes reps will actually follow.

  • Startup mentality: comfortable with ambiguity and able to figure out problems without needing a playbook.

  • AI-native: experience using AI agents or automation tools in your work, comfortable interpreting outputs from multi-agent systems.

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