Revenue Enablement Coordinator

New
Remote U.S.Full-TimeMiddle
Salary not disclosed
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Job Details

Experience
1-3 years
Required Skills
Artificial IntelligenceSalesforceGoogle WorkspaceSlack

Requirements

  • 1-3 years of experience in Enablement or program management
  • Thrive in a fast-moving environment and take pride in bringing order to complexity.
  • Strong written communicator who can translate messy information into crisp, clear messaging.
  • Naturally anticipate what's needed before being asked and follow through without being reminded.
  • Genuinely excited about AI and how it can make teams more effective — not just as a buzzword, but as a daily practice.
  • Google Workspace experience — Docs, Sheets, Calendar, Slides
  • Slack experience — Async-first communication & workflows
  • Salesforce experience — CRM fluency for sales context
  • Program management experience— you are organized, detail-oriented, proactive
  • Open to using AI to amplify their skills and strengthen their work - demonstrating curiosity, a willingness to learn, and sound judgment in applying AI responsibly to improve efficiency and impact.

Responsibilities

  • Own calendaring and scheduling across the Enablement team, including program sessions, stakeholder syncs, and team meetings — ensuring nothing falls through the cracks.
  • Drive end-to-end program management for enablement initiatives, tracking milestones, dependencies, and deliverables to keep projects on schedule.
  • Build and maintain an operating rhythm for the team — weekly standups, monthly reviews, quarterly planning cycles — so the team operates with clarity and consistency.
  • Run point on logistics for all enablement programs, including coordinating with cross-functional partners, managing vendors, and preparing materials and agendas.
  • Draft and manage internal and external communications on behalf of the Enablement team, including announcements, program updates, and follow-ups.
  • Actively explore how AI tools can improve team efficiency — bringing ideas, running experiments, and scaling what works.
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