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Head of Go-to-Market (EMEA) - Remote

Posted 2 weeks ago
Sales / Business
Full Time
Worldwide

Overview

The Head of GTM (Go-to-Market) Lead is a key leadership role responsible for driving the commercialization and sales of Degas's geospatial foundation model, focusing on revenue growth and market adoption.

In Short

  • Lead the development and execution of the go-to-market strategy.
  • Establish and maintain relationships with enterprise-sized clients.
  • Collaborate with product teams to align sales strategies with offerings.
  • Analyze market trends to optimize the GTM strategy.
  • Drive revenue growth and customer satisfaction.
  • Work cross-functionally with the CEO and CTO.
  • Focus on bringing the geospatial foundation model to market.
  • Utilize MEDDPIC or similar sales methodologies.
  • Exceed quota and revenue goals in an agile startup environment.
  • Encourage applications from diverse candidates.

Requirements

  • 10+ years of experience in Software/SaaS sales.
  • Experience in commercializing products from concept to market.
  • Understanding of Remote Sensing challenges.
  • Expertise in managing large-scale enterprise sales cycles.
  • Advanced sales management skills.
  • Strong interpersonal and communication skills.
  • Strategic mindset for effective sales strategies.
  • Experience with CRM and prospecting tools.

Benefits

  • Competitive salary aligned with experience.
  • Comprehensive benefits package.
  • Opportunity to impact developing countries.
  • Work with innovative AI technology.
  • Join a rapidly growing startup.
Degas logo

Degas

Degas is an innovative AI technology company focused on empowering smallholder farmers in Sub-Saharan Africa. With a commitment to enhancing agricultural success, Degas manages a large-scale operation involving over 20,000 farmers across 15,000 hectares of land. The company utilizes a network of 100 on-the-ground agents who employ a proprietary phone application to monitor and assess the status of partner farms. Degas is currently forming a machine learning team dedicated to satellite image analysis, aiming to provide real-time insights into farm health and performance. The team consists of experienced engineers, including former professionals from Google and Amazon, who are dedicated to leveraging technology for social good and maximizing productivity for farmers.

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