Director of RevOps (CX Ops)

New
J
JobgetherSaaS, RevOps
Based in the United StatesFull-TimeDirector
Salary not disclosed
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Job Details

Languages
English
Experience
10+ years of experience in operational roles within SaaS companies; 5+ years supporting Customer Success, Professional Services, Support, Renewals, or closely related customer-facing functions.
Required Skills
Artificial IntelligenceBusiness AnalysisSalesforceSaaSHubSpotProcess improvementCRMData analytics

Requirements

  • 10+ years of experience in operational roles within SaaS companies.
  • 5+ years supporting Customer Success, Professional Services, Support, Renewals, or closely related customer-facing functions.
  • Demonstrated experience designing, implementing, and scaling business systems such as CRM, customer success, support, billing, and renewal platforms.
  • Experience with platforms such as Salesforce, HubSpot, Gainsight, or comparable enterprise systems.
  • Proven ability to conduct business analysis that leads directly to process improvements and measurable business outcomes.
  • Demonstrated, hands-on use of AI to increase productivity in systems operations, analytics, automation, or internal tool development.
  • Strong ability to operate as a senior individual contributor.
  • Exceptional organization, time management, prioritization, and stakeholder alignment skills.
  • Strong communication skills and ability to collaborate across distributed teams.
  • Bachelor’s degree or equivalent professional experience.
  • Professional fluency in written and spoken English.

Responsibilities

  • Own the operational backbone for Customer Success, Professional Services, Support, and Renewals, developing scalable systems.
  • Build analyses that identify churn risks, expansion opportunities, services performance, support efficiency, and other key customer experience indicators.
  • Establish and maintain operational infrastructure for the partner ecosystem, including onboarding, deal registration, and co-sell tracking.
  • Support Sales Operations through pipeline hygiene, forecasting, and CRM workflows.
  • Design durable, scalable business systems prioritizing measurable business value.
  • Use AI tools to accelerate systems design, administration, integrations, and analytics.
  • Build AI-powered analytical tools and self-service reporting capabilities for leadership.
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