Revenue Operations Manager (SaaS)

TL;DR

Revenue Operations Manager (SaaS): Serving as the embedded operational engine for the North America sales team with an accent on forecast accuracy, pipeline hygiene, and process optimization. Focus on building scalable workflows, driving CRM adoption, and partnering with leadership to translate data into actionable business insights.

Company

hirify.global is a fast-growing cloud security platform that leverages runtime context and eBPF-powered sensors to provide real-time threat protection and cloud posture management.

What you will do

• Partner with the VP of North America Sales and frontline managers to resolve process, system, and deal-related issues daily.
• Manage the weekly operating rhythm, including pipeline hygiene reviews, forecast preparation, and leadership rollups.
• Provide real-time deal support, including order forms, quoting workflows, and handling non-standard terms.
• Build and maintain field-facing Salesforce dashboards to track pipeline health and key KPIs.
• Design and document scalable processes, playbooks, and CRM standards to improve sales efficiency.
• Bridge the gap between the field and cross-functional teams like GTM Enablement and Business Systems.

Requirements

• 5 to 7 years of experience in Sales Operations, Revenue Operations, or Consulting, preferably in B2B SaaS.
• Hands-on Salesforce fluency, including building reports, dashboards, and managing data.
• Strong analytical skills with proficiency in Excel or Google Sheets to quantify funnel performance.
• Executive-ready communication skills with the ability to synthesize complex data into actionable insights.
• Demonstrated leader mindset with experience mentoring teammates or leading cross-functional initiatives.
• Genuine interest in leveraging AI to design and implement AI-powered sales workflows.

Nice to have

• Direct experience with Clari or similar forecasting tools.

Culture & Benefits

• High-ownership, high-visibility role within a fast-scaling sales organization.
• Opportunity to work at the intersection of cloud security and AI.
• Collaborative environment focused on building efficient, scalable GTM engines.
• Emphasis on seller empathy and building processes that empower rather than police.