Revenue Operations Intern (Winter, 2027)

Job summary

The intern will support Revenue Operations by building and maintaining data infrastructure, pipelines, and automated reporting. They will collaborate with cross-functional teams to improve data quality and visibility across go-to-market and finance systems.

Job details

Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Business Need We are overhauling our Salesforce system, which will require significant updates to the data models and pipelines that support revenue reporting. We also lack scalable visibility into self-serve revenue due to fragmented data sources and manual reporting processes. This role will help build and maintain the data infrastructure and automated reporting needed to support these changes and improve visibility across go-to-market and finance teams. 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. 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. Position Details Duration: 4 months Start date: January 4 Location: Toronto or New York

What you’ll do

The intern will support Revenue Operations by building and maintaining data infrastructure, pipelines, and automated reporting. They will collaborate with cross-functional teams to improve data quality and visibility across go-to-market and finance systems.

Requirements

Candidates should have an interest in Revenue Operations and data analytics with some experience through coursework or projects. Proficiency or a willingness to learn tools like SQL, Salesforce, BigQuery, and data visualization platforms is required.

Listed skills

• SQL · Preferred
• Tableau · Preferred
• Problem solving · Preferred
• Reporting · Preferred
• Salesforce · Preferred
• Cross-Functional Collaboration · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Salesforce
• Data Analytics
• SQL
• BigQuery
• Looker
• Tableau
• Data Pipelines
• Revenue Operations
• Data Enrichment
• Reporting
• Problem-solving
• Data Quality
• Go-to-market Strategy
• Automation
• Cross-functional Collaboration
• Go-to-Market Strategy
• Business Problems
• Reporting Processes
• AI Adoption
• Data-Driven Decision Making
• Research
• Artificial Intelligence
• Data Analysis
• Google BigQuery
• Dashboard
• Management
• Spreadsheets
• Communication
• Customer Data Management
• Data Infrastructure
• Data Modeling
• Finance
• Sales
• Leadership
• Marketing
• Scalability
• Problem Solving
• SQL (Programming Language)
• Tableau (Business Intelligence Software)
• Revenue Growth
• Looker Analytics
• Artificial Intelligence Infrastructure

Job areas

• Data & Analytics
• Software
• Technology
• Sales
• Finance & Accounting
• Revenue Operations Manager
• Data Analytics Manager
• Mathematicians, Actuaries and Statisticians
• Data Scientists

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