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15 часов назад

Revenue Operations Intern (SaaS)

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Revenue Operations Intern (SaaS): Supporting the systems and processes powering the go-to-market engine with an accent on data integrity, CRM maintenance, and workflow optimization. Focus on assisting cross-functional teams in Sales, Marketing, and Finance to improve revenue lifecycle efficiency and reporting accuracy.

Location: Must be based in the United States

Company

hirify.global empowers utilities and their customers to create a clean, distributed energy future by integrating smart devices into virtual power plants.

What you will do

  • Support the maintenance and data integrity of GTM systems including Salesforce and HubSpot.
  • Assist in identifying and testing improvements for sales and client success workflows.
  • Help prepare deal documentation and support deal desk coordination.
  • Build and maintain dashboards to track pipeline activity and performance.
  • Document processes, playbooks, and internal guides for revenue teams.
  • Collaborate with Sales, Marketing, and Finance to ensure consistent data handoffs.

Requirements

  • Must be currently pursuing a bachelor’s or master’s degree in business, economics, analytics, information systems, engineering, or a related field.
  • Must be authorized to work in the US as no sponsorship is available.
  • Strong analytical skills with comfort in spreadsheets and data validation.
  • High attention to detail regarding data accuracy and process consistency.
  • Professional communication skills and a collaborative mindset.
  • Eagerness to learn and work in a fast-paced environment.

Culture & Benefits

  • Opportunity to gain hands-on experience with real business problems in a high-growth SaaS environment.
  • Direct collaboration with executives and exposure to cross-functional business areas.
  • Mentorship and project-based learning with clear goals and timelines.
  • Contribution to meaningful climate-focused work in the energy sector.
  • Exposure to a broad spectrum of IoT and machine learning business challenges.

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