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GTM Enablement & Innovation Specialist - Remote

Posted 1 week ago
Sales / Business
Full Time
Worldwide

Overview

The GTM Enablement & Innovation Specialist at DroneDeploy will drive transformation in how Sales, Customer Success, and Support teams operate by implementing AI-powered efficiencies and innovative learning experiences.

In Short

  • Fully remote position with flexible schedules.
  • Focus on designing and delivering enablement programs.
  • Enhance team performance through AI applications.
  • Collaborate with cross-functional teams.
  • Develop practical resources for onboarding and daily operations.
  • Encourage a culture of continuous improvement.
  • Conduct workshops and create self-serve guides.
  • Support GTM leaders in aligning enablement with customer journeys.
  • Participate in external workshops and AI communities.
  • Drive meaningful change and innovation across teams.

Requirements

  • 3 years of experience in GTM enablement or related roles.
  • Experience with AI tools to enhance team productivity.
  • Ability to design and measure AI-powered workflows.
  • Strong communication and facilitation skills.
  • Proficiency in assessing enablement impact using analytics.
  • Familiarity with sales methodologies like MEDDIC or SPICED.

Benefits

  • Lead the evolution of enablement practices.
  • Innovate and learn in a forward-thinking environment.
  • Embrace experimentation and creative AI usage.
  • Be part of a company that values curiosity and continuous learning.
DroneDeploy logo

DroneDeploy

DroneDeploy is a leading provider of photogrammetry software that empowers industries worldwide by automating complex tasks to enhance safety, precision, and efficiency. The company focuses on innovative machine learning solutions to address computer vision challenges, particularly in sectors such as construction, agriculture, and conservation. With a fully remote work environment, DroneDeploy emphasizes flexibility, collaboration, and professional development, ensuring that its team of skilled engineers can thrive while contributing to the advancement of machine learning technologies.

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