Cohere · Foundation models

Revenue Operations Intern (Winter, 2027)

  • New York (Hybrid), +1 more: Toronto
  • Internship

Still open on Cohere's site · checked just now

Level
Intern
Posted

Revenue Operations Intern (Winter, 2027)

Cohere

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What you'll do

As written by Cohere · Read the original

Role Description

This intern will support Revenue Operations data infrastructure and automation, including data enrichment and management, building and updating data pipelines, and developing automated reporting for go-to-market and finance stakeholders.

Key Responsibilities

  • Support go-to-market reporting, systems, and processes that help teams make data-driven decisions and drive revenue growth.

  • Help maintain and improve data quality across Salesforce and other go-to-market systems.

  • Work with cross-functional teams to bring together customer data across product usage, sales activity, marketing engagement, support, and contract data.

  • Support the development and maintenance of dashboards and reporting for go-to-market and finance leadership.

  • Assist with data pipelines and processes that connect data across Salesforce, BigQuery, and other systems.

  • Help identify opportunities to automate manual reporting and operational processes.

  • Support ad hoc data analysis and operational requests from the Revenue team.

Requirements

What You Bring

  • Interest in learning about Revenue Operations, data analytics, and how technology companies go to market.

  • Some experience working with data through coursework, internships, projects, or extracurricular activities.

  • Comfort with spreadsheets and a willingness to develop skills in tools such as SQL, Salesforce, BigQuery, Looker, or Tableau.

  • Strong problem-solving ability and an enjoyment of figuring out how data, systems, and processes fit together.

  • Detail orientation and a commitment to data accuracy and quality.

  • Comfort with learning new tools and working across multiple projects.

  • Ability to communicate findings clearly and explain what the data means and why it matters.

Skills

Stack

  • SQL

Working languages

English

Company

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